Relevant bibliographies by topics / Efficient demand side management

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Efficient demand side management'

Author: Grafiati
Published: 20 February 2023

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Journal articles on the topic "Efficient demand side management"

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P. Dzyuba, Anatoly, and Irina A. Solovyeva. "Demand-side management mechanisms in industry." Journal of New Economy 21, no. 3 (October 7, 2020): 175–95. http://dx.doi.org/10.29141/2658-5081-2020-21-3-9.

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Intensive development of technologies that increase energy efficiency makes the global and the Russian industry consider the introduction of demand-side management mechanisms. Though demand-side management technologies in Russia are at the early stages of introduc tion, existing mechanisms of electricity and natural gas supply allow consumers to reduce their costs and result in equalization of the demand for energy across the entire energy system. The research objective is to explore the energy tariffs in the wholesale and retail markets and mecha nisms for supplying natural gas by regional contractors as well as using the commodity exchange. The authors design mechanisms for industrial consumers to choose the most efficient options to pay for energy resources using the criterion of demand-side management. The research method ology includes the theory of industrial markets and a problem-oriented approach. The authors apply analysis, synthesis, system analysis, statistical methods. Yielded results of the research into programmes on demand-side management administered in different countries enable the authors to prove that the most efficient direction for demand-side management development in Russia is economic norm setting. Within this direction the authors develop algorithms and decision-making matrices for choosing the most efficient tariff option to buy electricity and natural gas by industrial consumers. The researchers evidence the possibility of implement ing demand-side management on energy markets of Russia and provide methodological and organisational support. The findings can be helpful for industrial enterprises and government agencies developing and running their energy efficiency improvement programs.
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Li, Chaojie, Xinghuo Yu, Wenwu Yu, Guo Chen, and Jianhui Wang. "Efficient Computation for Sparse Load Shifting in Demand Side Management." IEEE Transactions on Smart Grid 8, no. 1 (January 2017): 250–61. http://dx.doi.org/10.1109/tsg.2016.2521377.

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Rahman, S., and Rinaldy. "An efficient load model for analyzing demand side management impacts." IEEE Transactions on Power Systems 8, no. 3 (1993): 1219–26. http://dx.doi.org/10.1109/59.260874.

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Kumar, D. Sai. "Demand Side Management Techniques for Peak Reduction." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 30, 2021): 2911–13. http://dx.doi.org/10.22214/ijraset.2021.36979.

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Industrial growth is the back bone for the development of any nation. Industries are mainly dependent on electrical energy. But from the various studies, the sources for electrical energy are decreasing gradually, and in turn, the gap is increasing between the supplier and the load. The solution for this scenario is optimal utilization of resources. To overcome this problem , the concept Demand Side Management (DSM) has emerged in Power System Planning and Management. The principle objective of DSM is mutual understanding between the supplier and the consumer for maximizing benefits and minimizing inconvenience. The aim of this research work is selection and application of appropriate DSM techniques to industrial and domestic loads for peak load management and energy conservation, that is to control the maximum demand during the peak hours and saving the energy by using the energy efficient and intelligent appliances like air conditioners and water heaters. DSM includes techniques like the End Use Equipment Control, the Load Priority Technique, he Peak Clipping & Valley filling, the Differential Tariff and Resizing of the equipment. Depending upon the application, all the techniques may be applied sequentially, or only a few of them can be applied. There is a lot of ambiguity in the selection of DSM techniques, because the application of each DSM technique depends on the case study and the problem associated with the respective case study. After comprehensive understanding of a particular case, a thorough investigation and subsequent data analysis pave the way for the selection of appropriate DSM technique/techniques
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Castro, Tiago Bornia, Marcio Zamboti Fortes, Fernanda Passos, and Natalia C. Fernandes. "An Efficient Demand-Side Management Mechanisms in Residential Energy Consumption Automation." Journal of Engineering Science and Technology Review 15, no. 3 (2022): 9–25. http://dx.doi.org/10.25103/jestr.153.02.

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Nailen, R. L. "Utility rebates for efficient motors-the outlook for demand-side management." IEEE Transactions on Industry Applications 33, no. 1 (1997): 143–53. http://dx.doi.org/10.1109/28.567095.

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Straub, Mary M., and Sheldon Switzer. "Using Available Information for Efficient Evaluation of Demand-Side Management Programs." Electricity Journal 24, no. 7 (August 2011): 83–96. http://dx.doi.org/10.1016/j.tej.2011.07.007.

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Palacios-Garcia, Emilio J., Xavier Carpent, Joppe W. Bos, and Geert Deconinck. "Efficient privacy-preserving aggregation for demand side management of residential loads." Applied Energy 328 (December 2022): 120112. http://dx.doi.org/10.1016/j.apenergy.2022.120112.

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Liu, Zixu, Xiaojun Zeng, and Fanlin Meng. "An Integration Mechanism between Demand and Supply Side Management of Electricity Markets." Energies 11, no. 12 (November 27, 2018): 3314. http://dx.doi.org/10.3390/en11123314.

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One of the main challenges in the emerging smart grid is to jointly consider the demand and supply, which is also reflected in the wholesale market (supply side) and the retail market (demand side). When integrating the demand and supply side into one framework, the mechanism for determining the market clearing price has been changed. This is due to the demand variations in the demand side in response to the market clearing price and the change of generation costs in the supply side from the demand variation. In order to find the best balance between the supply and demand under the demand response management scheme, this paper proposes a new integrated supply and demand coordination mechanism for the electricity market and smart pricing methods for generator and retailers. Another important contribution of this paper is to develop an efficient algorithm to find the match equilibrium between the demand and supply sides in the new proposed mechanism. Experimental results demonstrate that the new mechanism can effectively handle unpredictable demand under dynamic retail pricing and support the ISO to dispatch the generation economically. It can also help in achieving the goals of dynamic pricing such as maximizing the profits for retailers.
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Laitsos, Vasileios M., Dimitrios Bargiotas, Aspassia Daskalopulu, Athanasios Ioannis Arvanitidis, and Lefteri H. Tsoukalas. "An Incentive-Based Implementation of Demand Side Management in Power Systems." Energies 14, no. 23 (November 30, 2021): 7994. http://dx.doi.org/10.3390/en14237994.

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The growing demand for electricity runs counter to European-level goals, which include activities aimed at sustainable development and environmental protection. In this context, efficient consumption of electricity attracts much research interest nowadays. One environment friendly solution to meet increased demand lies in the deployment of Renewable Energy Sources (RES) in the network and in mobilizing the active participation of consumers in reducing the peak of demand, thus smoothing the overall load curve. This paper addresses the issue of efficient and economical use of electricity from the Demand Side Management (DSM) perspective and presents an implementation of a fully-parameterized and explicitly constrained incentive-based demand response program The program uses the Particle Swarm Optimization algorithm and demonstrates the potential advantages of integrating RES while supporting two-way communication between energy production and consumption and two-way power exchange between the main grid and the RES.
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Dissertations / Theses on the topic "Efficient demand side management"

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Zhao, Zezheng. "Residential Side Load Forecasting and Optimisation." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/27396.

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With the continuous growth in population and energy demands, more attention is being paid to energy consumption issues in residential environments. From the perspective of energy providers, high-accuracy short-term load forecasting plays a significant role in the energy generation plan, efficient energy distribution process and electricity price strategy optimisation. At the user-end, the home energy management system (HEMS) has been proposed as a cost-effective solution to reduce the electricity cost in households, while maintaining users' comfort and reducing the pressure on energy providers. To handle these challenges, in this work, we introduce a novel model based on the Transformer network to provide an accurate day-ahead load forecasting service. Our model combines a similar day selection approach involving the LightGBM and k-means algorithms. As compared to the traditional RNN-based approach, our proposed model can avoid to falling into local minimum and outperform in the global search. To evaluate the performance of our proposed model, we set up a series of simulation experiments based on the energy consumption data in Australia from 2006 to 2010. The results reveal that the average MAPE our proposed model can achieve is 1.09, the RNN is 2.37 and the LSTM is 1.69. Furthermore, it is a challenge to design cost-effective scheduling strategies for HEMS, which take many objectives into consideration while potentially benefiting both users and providers. In our work, we propose a new approach named adaptive multi-objective salp swarm algorithm (AMSSA), based on the traditional multi-objective salp swarm algorithm (MSSA), to realise a multi-objective optimisation approach for the power scheduling problem. AMSSA not only fulfils the trade-off among users' comfort, electricity cost and peak to average ratio (PAR), but also enhances the convergence speed for the overall optimisation process. Moreover, we also set up a testbed by using smart appliances and implemented our design on an edge-based energy management system. The experiment results demonstrated a reduction in both electricity cost (47.55%) and PAR (45.73%) as compared with the case without a scheduling scheme.
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Gilmour, James Ewan. "The modelling of energy efficient drying for DSM." Thesis, Aston University, 1999. http://publications.aston.ac.uk/15309/.

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This thesis investigates the modelling of drying processes for the promotion of market-led Demand Side Management (DSM) as applied to the UK Public Electricity Suppliers. A review of DSM in the electricity supply industry is provided, together with a discussion of the relevant drivers supporting market-led DSM and energy services (ES). The potential opportunities for ES in a fully deregulated energy market are outlined. It is suggested that targeted industrial sector energy efficiency schemes offer significant opportunity for long term customer and supplier benefit. On a process level, industrial drying is highlighted as offering significant scope for the application of energy services. Drying is an energy-intensive process used widely throughout industry. The results of an energy survey suggest that 17.7 per cent of total UK industrial energy use derives from drying processes. Comparison with published work indicates that energy use for drying shows an increasing trend against a background of reducing overall industrial energy use. Airless drying is highlighted as offering potential energy saving and production benefits to industry. To this end, a comprehensive review of the novel airless drying technology and its background theory is made. Advantages and disadvantages of airless operation are defined and the limited market penetration of airless drying is identified, as are the key opportunities for energy saving. Limited literature has been found which details the modelling of energy use for airless drying. A review of drying theory and previous modelling work is made in an attempt to model energy consumption for drying processes. The history of drying models is presented as well as a discussion of the different approaches taken and their relative merits. The viability of deriving energy use from empirical drying data is examined. Adaptive neuro fuzzy inference systems (ANFIS) are successfully applied to the modelling of drying rates for 3 drying technologies, namely convective air, heat pump and airless drying. The ANFIS systems are then integrated into a novel energy services model for the prediction of relative drying times, energy cost and atmospheric carbon dioxide emission levels. The author believes that this work constitutes the first to use fuzzy systems for the modelling of drying performance as an energy services approach to DSM. To gain an insight into the 'real world' use of energy for drying, this thesis presents a unique first-order energy audit of every ceramic sanitaryware manufacturing site in the UK. Previously unknown patterns of energy use are highlighted. Supplementary comments on the timing and use of drying systems are also made. The limitations of such large scope energy surveys are discussed.
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Cheng, Chia-Chin. "Electricity demand-side management for an energy efficient future in China : technology options and policy priorities." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33679.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Engineering Systems Division, 2005.
Includes bibliographical references (p. 278-289).
The main objective of this research is to identify robust technology and policy options which achieve substantial reductions in electricity demand in China's Shandong Province. This research utilizes a scenario-based approach to identify sensible and feasible energy efficiency and load reduction strategies. The research consists of technical analyses through the development of an hourly load simulation model to study the time and temperature sensitive impacts on electricity demand growth by different demand-side management (DSM) scenarios and a policy analysis to formulate policy priorities based on the socio-economic and environmental realities in China. This bottom-up comprehensive study helps inform decision-making given the technological, consumption and socio-economic conditions in large-scale electricity grid systems of Shandong and China, thus preferred DSM strategies are identified, and sensible policy recommendations are made with respect to Shandong province and China as a whole. This study developed a computer-based modeling tool for peak-load based electric demand analysis and long-term projections.
(cont.) The model simulates disaggregated hourly electric loads by end-user types with temperature-sensitive load simulation capability, which takes into account time use patterns, life-style and behavioral factors, distributed consumption behaviors of electricity users, appliances and equipment utilization patterns, environmental factors, and industrial structural and operational parameters. The simulation and scenario based research methodology provides a comparative basis, and dynamic insights to electricity demand in areas when limited generation and consumption information is available, which is especially appropriate for electricity sector studies in developing countries. The research showed that demand side management strategies could result in significant reduction in the peak loads as well as the total electricity consumption in Shandong.
(cont.) The results of the technical analysis concluded that (1) temperature sensitive load makes up the fastest growing demand within the entire consumption profile; (2) implementation of building energy efficiency strategies demonstrates the largest energy saving potential; (3) implementation of appliances standards, has limited effects on energy saving; (4) load management strategies to induce changes in consumption behaviors also shows great potential, however, they are difficult to estimate; and (5) urbanization policies also have a strong impact on electricity consumption. The recommended DSM policy priorities are based on the energy-saving potentials of the DSM strategies, which are listed in priority order: (1) improvement of building technology, (2) management of new installation first (3) management of temperature sensitive loads, (4) implementation of behavioral and load management strategies, (5) better management of urbanization policies (6) promotion of aggressive industrial motor substitution measures & industrial structural changes, and (6) improvement of appliance efficiency.
(cont.) This research also formulated integrated DSM policy recommendations to the Chinese government that are centered by the development of coordinated DSM policy framework, and that are based upon the current technological, managerial and institutional capacities of Chinese industry and governmental agencies. The details include moving away from the traditional utility centered IRP/DSM framework, developing a robust energy efficiency services industry, setting correct DSM priorities and implementing them, developing and upgrading the domestic energy efficiency product industry, and engaging end-user participation. The thesis recognized the barriers and difficulties in the policy implementation and stressed the importance of continuous adaptation and institutional learning in the implementation process.
by Chia-Chin Cheng.
Ph.D.
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Saengprajak, Arnusorn. "Efficiency of demand side management measures in small village electrification systems." Kassel Kassel Univ. Press, 2006. http://www.uni-kassel.de/hrz/db4/extern/dbupress/publik/abstract.php?978-3-89958-273-4.

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Saengprajak, Arnusorn. "Efficiency of demand side management measures in small village electrification systems." Kassel Kassel Univ. Press, 2007. http://d-nb.info/986595578/34.

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Goosen, Pieter. "Efficient monitoring of mine compressed air savings / by P. Goosen." Thesis, North-West University, 2013. http://hdl.handle.net/10394/9660.

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In 2011 South Africa's main electricity supplier, Eskom, experienced a peak electricity demand of 89% of their total installed generation capacity. The high utilisation rate makes it difficult to perform essential maintenance on the system. Eskom implements Demand-Side Management (DSM) projects in various industries, in order to reduce the demand and to ensure sustainable electricity supply. The mining sector consumes 14.5% of the total amount of electricity generated by Eskom. Mine compressed air systems can consume as much as 40% of a mine's total electricity requirements. This makes mine compressed air systems an ideal target for DSM. Electricity load seems to be reduced, but many DSM savings are not sustained throughout the project lifetime. An existing project feedback method of a specific Energy Services Company (ESCo) includes the manual collection of data from the mines and manual generation of reports. These reports show energy savings of the DSM projects to help the ESCo and their clients to improve and sustain the performance of the projects. A great amount of man-hours is used which results in large time delays in the feedback-loop. In order to address this, the need for a new automatic feedback reporting system was identified. This study mainly focusses on the development and implementation of a new method to monitor DSM savings on mine compressed air systems. It includes the reliable collection of data from mines, processing and storing of the data in a central database and generating savings reports. This is done automatically on a daily basis. In order to complete the feedback-loop, the reports are verified and emailed to clients and ESCo personnel on a daily basis. The new reporting system is implemented at a number of mines. Four of these project implementations are used as case studies to measure and interpret the effectiveness and value of this system. It saves a significant amount of man-hours and proves to be of great value in the sustainability of DSM project savings. Both Eskom and mining companies benefit from the efficient monitoring of mine compressed air savings.
Thesis (MIng (Computer and Electronic Engineering))--North-West University, Potchefstroom Campus, 2013.
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[Verfasser], Arnusorn Saengprajak. "Efficiency of demand side management measures in small village electrification systems / Arnusorn Saengprajak." Kassel : Kassel Univ. Press, 2007. http://d-nb.info/986595578/34.

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Al-enezi, Azeez Nawaf. "Demand side management (DSM) for efficient use of energy in the residential sector in Kuwait : analysis of options and priorities." Thesis, De Montfort University, 2010. http://hdl.handle.net/2086/4405.

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The State of Kuwait has one of the largest per capita consumption in the world, reaching 13061kWh in 2006 (Kuwait MEW, 2007). The power sector in Kuwait is not commercially viable, due to the current under-pricing policy and heavily subsidized tariff. Kuwait needs to take action to meet the increased energy demand. A particular challenge is peak summer demand when extreme heat increases air conditioning loads. Peak demand reached 8900 MW in 2006, with a growth fast at an average rate 5.6% during the last decade. The generated energy reached 47605 GWh in 2006 and is growing fast at an average rate of 6.5%. Electricity demand is characterized by high seasonal variations and low load factor. The main objective of this research is to assess and evaluate the most effective and robust Demand Side Management (DSM) measures that could achieve substantial reductions in peak demand and electricity consumption in the residential sector. The residential sector in Kuwait consumes about 65% of total electricity consumption, and is characterized with inefficient use of energy due to several factors, including very cheap energy price and lack of awareness. To achieve the research objective, an integrated approach was used, including the following steps: • Performing a demand forecast and a building stock forecast across 10 years period (2010 -2019) for the residential sector. The main types of dwellings in Kuwait (villas, apartments and traditional houses) were considered in the forecast. • Conducting detailed energy audits and measurements on selected typical models of residential dwellings. The aim of this process is to examine energy patterns and identify the potential energy efficiency DSM measures. • Performing a simulation process, to evaluate energy performance of the audited dwellings and to estimate the potential DSM savings. Two basic scenarios were considered in simulation, the first represents the base-case with actual existing condition and the second for different DSM options. • Analysis of identified technological DSM options (five) and recommended policy DSM options (two) and ranking them in priority order using the Analytic Hierarchy Process (AHP). • Estimate the potential energy savings and peak demand reductions by the implementation of identified DSM options. A building block approach is used to estimate the aggregate impacts of DSM options and its reflection on the country Load Duration Curve (LDC). The research showed that a DSM portfolio consisting of the seven identified measures, and through a dedicated programme, could have substantial reductions in energy consumption and peak demand. The research showed that the total accumulated energy savings across the forecast period was estimated at approximately 37229 GWh, and the total peak demand reductions during at the end of forecast (2019) reaches 1530 MW representing 8.9% Of the overall peak load. With respect to the type of dwelling, the research also indicated that the total net revenues for the utility were estimated at: $292 million for villas, $79 million for apartments and $47 million for traditional houses. One of the important indicators showed as a result of implementing the identified DSM measures is the positive environmental impact that could be achieved by reducing CO2 total emissions by approximately 26.8 million tonne, which could achieve an annual income of about $38.9 million. Integrated DSM policy recommendations were formulated, including gradual tariff adjustment, and more involvement by the utility, or government, in the creation of sustainable DSM programmes.
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Al-Hadban, Yehya. "Demand-side management in office buildings in Kuwait through an ice-storage assisted HVAC system with model predictive control." Thesis, Cranfield University, 2005. http://hdl.handle.net/1826/3885.

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Examining methods for controlling the electricity demand in Kuwait was the main objective and motivation of this researchp roject. The extensiveu se of air-conditioning for indoor cooling in office and large commercial buildings in Kuwait and the Gulf States represents a major part of the power and electricity consumption in such countries. The rising electricity generation cost and growing rates of consumption continuously demand the construction new power plants. Devising and enforcing Demand-SideM anagemen(t DSM) in the form of energye fficient operations trategies was the response of this research project to provide a means to rectify this situation using the demand-side management technique known as demand levelling or load shifting. State of the art demand-sidem anagementte chniquesh ave been examined through the developmenot f a model basedp redictive control optimisations trategyf or an integrateda ndm odulara pproachto the provisiono f ice thermals torage. To evaluate the potential of ice-storage assisted air-conditioning systems in flattening the demand curve at peak times during the summer months in Kuwait, a model of a Heating, Ventilation, and Air-conditioning (HVAC) plant was developed in Matlab. The model engaged the use of model based predictive control (MPQ as an optimisation tool for the plant as a whole. The model with MPC was developed to chose and decide on which control strategy to operate the integrated ice-storage HVAC plant. The model succeeded in optimising the operation of the plant and introduced encouraging improvement of the performance of the system as a whole. The concept of the modular ice-storage system was introduced through a control zoning strategy based on zonal orientation. It is believed that such strategy could lead to the modularisation of ice-storage systems. Additionally, the model was examined and tested in relation to load flattening and demonstrated promising enhancement in the shape of the load curve and demonstrated flattened demand curves through the employed strategy. When compared with measured data from existing buildings, the model showed potential for the techniques utilised to improve the load factor for office buildings.
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Rinaldy. "A technique to incorporate the impacts of demand side management on generation expansion planning." Diss., Virginia Tech, 1992. http://hdl.handle.net/10919/40021.

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Books on the topic "Efficient demand side management"

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NATO Advanced Study Institute on Demand-Side Management and Electricity End-Use Efficiency (1987 Póvoa de Varzim, Portugal). Demand-side management and electricity end-use efficiency. Dordrecht: Kluwer Academic Publishers, 1988.

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Almeida, Anibal T. Demand-Side Management and Electricity End-Use Efficiency. Dordrecht: Springer Netherlands, 1988.

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Montana. Dept. of Natural Resources and Conservation. Energy notes: Energy efficiency through demand-side management. [Helena: Montana Dept. of Natural Resources and Conservation, 1994.

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Almeida, Anibal T., and Arthur H. Rosenfeld, eds. Demand-Side Management and Electricity End-Use Efficiency. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-1403-2.

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Hossain, Ijaz. Bangladesh roadmap for energy efficiency improvements and demand side management. Dhaka: [World Bank and GTZ], 2009.

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Hossain, Ijaz. Bangladesh roadmap for energy efficiency improvements and demand side management. Dhaka: [World Bank and GTZ], 2009.

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Klein, Gary. Statewide energy efficiency potential estimates and targets for California utilities: Draft staff report. [Sacramento, Calif.]: California Energy Commission, 2007.

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Klein, Gary. Statewide energy efficiency potential estimates and targets for California utilities: Draft staff report. [Sacramento, Calif.]: California Energy Commission, 2007.

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Lewis, Tracy R. Designing utility-tailored incentive programs for energy efficiency and conservation. Berkeley, CA: Universitywide Energy Research Group, 1992.

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Hirst, Eric. Justification for electric-utility energy-efficiency programs. Oak Ridge, Tenn: Oak Ridge National Laboratory, 1995.

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Book chapters on the topic "Efficient demand side management"

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Jones, J. W. "Design of Efficient HVAC Systems." In Demand-Side Management and Electricity End-Use Efficiency, 423–34. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-1403-2_26.

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Iacovoni, Franco, and Giuseppe Massini. "ENEA Activities on Demand Side Management." In Energy Efficiency in Household Appliances and Lighting, 735–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56531-1_77.

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Rabl, Veronika A., and Clark W. Gellings. "The Concept of Demand-Side Management." In Demand-Side Management and Electricity End-Use Efficiency, 99–112. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-1403-2_5.

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Moriniere, Olivier. "Cool Storage in Commercial Buildings; Efficient and Cost-Effective Technology." In Demand-Side Management and Electricity End-Use Efficiency, 145–68. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-1403-2_8.

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Lescoeur, B., J. B. Galland, and E. Husson. "Marginal Cost Pricing: An Efficient Tool to Ensure Electricity Demand Side Management." In Demand-Side Management and Electricity End-Use Efficiency, 191–205. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-1403-2_11.

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Martins, A. G. "Energy Management Systems." In Demand-Side Management and Electricity End-Use Efficiency, 127–44. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-1403-2_7.

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Fouquet, Denis, and Maurice Orfeuil. "The Development of New Efficient Electricity End-Use Equipments and Processes in the French Industry." In Demand-Side Management and Electricity End-Use Efficiency, 367–81. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-1403-2_20.

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Rabl, Veronika A. "Load Management Technologies and Programs in the U.S." In Demand-Side Management and Electricity End-Use Efficiency, 113–25. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-1403-2_6.

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Rahman, H. A., M. S. Majid, M. Y. Hassan, and K. S. Kannan. "Impact on Implementing Demand Side Management in Residential Sector." In Energy Efficiency in Household Appliances and Lighting, 697–708. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56531-1_74.

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Jones, David. "Electricity — The Political and Economic Context." In Demand-Side Management and Electricity End-Use Efficiency, 3–16. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-1403-2_1.

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Conference papers on the topic "Efficient demand side management"

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Adejumobi, Isaiah Adediji, and Joseph Adesina Adeoti. "Efficient Utilization of Industrial Power: Demand Side Management Approach." In 2019 IEEE PES/IAS PowerAfrica. IEEE, 2019. http://dx.doi.org/10.1109/powerafrica.2019.8928817.

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Kulkarni, V. A., and P. K. Katti. "Tracking of energy efficiency in industries by demand side management techniques." In 2013 International Conference on Energy Efficient Technologies for Sustainability (ICEETS). IEEE, 2013. http://dx.doi.org/10.1109/iceets.2013.6533560.

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Gopal, N. Tarun, S. N. V. S. K. Chaitanya, B. Venkateswara Rao, and SK Sameer Saheb. "Demand Side Management of Energy Efficient Street Lighting System through CCMS." In 2018 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT). IEEE, 2018. http://dx.doi.org/10.1109/rteict42901.2018.9012316.

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Zhao, Zezheng, Chunqiu Xia, Lian Chi, Xiaomin Chang, Wei Li, Ting Yang, and Albert Y. Zomaya. "An Adaptive Multi-objective Salp Swarm Algorithm for Efficient Demand Side Management." In 2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS). IEEE, 2020. http://dx.doi.org/10.1109/mass50613.2020.00044.

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Awais, M., N. Javaid, N. Shaheen, Z. Iqbal, G. Rehman, K. Muhammad, and I. Ahmad. "An Efficient Genetic Algorithm Based Demand Side Management Scheme for Smart Grid." In 2015 18th International Conference on Network-Based Information Systems (NBiS). IEEE, 2015. http://dx.doi.org/10.1109/nbis.2015.54.

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Alaileh, Ramiz, Mohammed Yousif, Ahmed Fadul, and Mark Preece. "Energy efficiency and demand side management in Abu Dhabi." In 2013 7th IEEE GCC Conference and Exhibition (GCC). IEEE, 2013. http://dx.doi.org/10.1109/ieeegcc.2013.6705840.

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Apolinario, I., C. C. De Barros, H. Coutinho, L. Ferreira, B. Madeira, P. Oliveira, A. Trindade, and P. Verdelho. "Promoting demand side management and energy efficiency in Portugal." In 20th International Conference and Exhibition on Electricity Distribution (CIRED 2009). IET, 2009. http://dx.doi.org/10.1049/cp.2009.1081.

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Fatima, Iqra, Sikandar Asif, Sundas Shafiq, Itrat Fatima, Muhammad Hassan Rahim, and Nadeem Javaid. "Efficient Demand Side Management Using Hybridization of Elephant Herding Optimization and Firefly Optimization." In 2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA). IEEE, 2018. http://dx.doi.org/10.1109/aina.2018.00124.

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Boreiko, Dmitrijs, Jevgenijs Kozadajevs, and Antans Sauhats. "Implementing energy efficiency and demand-side management in glasswork company." In 2017 IEEE 58th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). IEEE, 2017. http://dx.doi.org/10.1109/rtucon.2017.8124829.

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Finn, Paddy, Colin Fitzpatrick, Martin Leahy, and Edin Omerdic. "Increased efficiency of wind generated electricity using demand side management." In 2008 IEEE International Symposium on Electronics and the Environment (ISEE). IEEE, 2008. http://dx.doi.org/10.1109/isee.2008.4562850.

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Reports on the topic "Efficient demand side management"

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Glatt, Sandy. Summary of Characteristics and Energy Efficiency Demand-side Management Programs in the Southeastern United States. Office of Scientific and Technical Information (OSTI), April 2010. http://dx.doi.org/10.2172/1218826.

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Aldubyan, Mohammad, Moncef Krarti, and Eric Williams. Evaluating Energy Demand and Energy Efficiency Programs in Saudi Residential Buildings. King Abdullah Petroleum Studies and Research Center, February 2021. http://dx.doi.org/10.30573/ks--2020-mp05.

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This paper describes the development of the Residential Energy Model (REEM) for Saudi Arabia using an engineering bottom-up approach. The model can assess energy demand for the current residential building stock and the impact of energy efficiency and demand-side management programs. It accounts for the makeup and features of the Kingdom’s existing housing stock using 54 prototypes of residential buildings defined by three building types, three vintages, and six locations representing different climatic zones.
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Reid, M. W., and J. B. Brown. Incentives for demand-side management. Office of Scientific and Technical Information (OSTI), January 1992. http://dx.doi.org/10.2172/10145860.

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Reid, M., and J. Brown. Incentives for demand-side management. Office of Scientific and Technical Information (OSTI), January 1992. http://dx.doi.org/10.2172/5241663.

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Englin, J. E., R. D. Sands, J. G. De Steese, and S. J. Marsh. System Demand-Side Management: Regional results. Office of Scientific and Technical Information (OSTI), May 1990. http://dx.doi.org/10.2172/6497250.

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Author, Not Given. U.S. electric utility demand-side management 1995. Office of Scientific and Technical Information (OSTI), January 1997. http://dx.doi.org/10.2172/446354.

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Hopkins, M. F., R. L. Conger, and T. J. Foley. Industrial demand side management: A status report. Office of Scientific and Technical Information (OSTI), May 1995. http://dx.doi.org/10.2172/76375.

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Toloo, Sam, Ruvini Hettiarachchi, David Lim, and Katie Wilson. Reducing Emergency Department demand through expanded primary healthcare practice: Full report of the research and findings. Queensland University of Technology, January 2022. http://dx.doi.org/10.5204/rep.eprints.227473.

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Demand for public hospital emergency departments’ services and care is increasing, placing considerable restraint on their performance and threatens patient safety. Many factors influence such demand including individual characteristics (e.g. perceptions, knowledge, values and norms), healthcare availability, affordability and accessibility, population aging, and internal health system factors (e.g patient flow, discharge process). To alleviate demand, many initiatives have been trialled or suggested, including early identification of at-risk patients, better management of chronic disease to reduce avoidable ED presentation, expanded capacity of front-line clinician to manage sub-acute and non-urgent care, improved hospital flow to reduce access block, and diversion to alternate site for care. However, none have had any major or sustained impact on the growth in ED demand. A major focus of the public discourse on ED demand has been the use and integration of primary healthcare and ED, based on the assumption that between 10%–25% of ED presentations are potentially avoidable if patients’ access to appropriate primary healthcare (PHC) services were enhanced. However, this requires not only improved access but also appropriateness in terms of the patients’ preference and PHC providers’ capacity to address the needs. What is not known at the moment is the extent of the potential for diversion of non-urgent ED patients to PHC and the cost-benefits of such policy and funding changes required, particularly in the Australian context. There is a need to better understand ED patients’ needs and capacity constraint so as to effect delivery of accessible, affordable, efficient and responsive services. Jennie Money Doug Morel
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Rose, M., and R. K. Camera. Guidebook for Farmstead Demand-Side Management (DSM) program design. Office of Scientific and Technical Information (OSTI), February 1992. http://dx.doi.org/10.2172/6963325.

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Wolfe, A. K., and N. E. Yourstone. The demand-side management program development process: A utility perspective. Office of Scientific and Technical Information (OSTI), March 1992. http://dx.doi.org/10.2172/10148813.

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