Relevant bibliographies by topics / Demand response (DR) programs

Contents

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

Academic literature on the topic 'Demand response (DR) programs'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Demand response (DR) programs"

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Zhang, You You, Rui Ma, and Zi Heng Xu. "The Review of Demand Response Programs in Smart Grid." Advanced Materials Research 614-615 (December 2012): 1800–1803. http://dx.doi.org/10.4028/www.scientific.net/amr.614-615.1800.

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Demand response (DR) has become an important part of smart grid, mainly for modulating load curve, emergency treatment, balancing the demand and supply of power system. The features of smart grid-self healing and interactive-give the new meaning to DR. In smart grid, the promotion strategies of ISO/RTO in energy and auxiliary service markets implement DR programs in the project of auxiliary services and can reduce energy consumption. This paper summarizes the global related researches and practices, including the classification, progress of each subclass, the future development potential and D
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Shekari, Mohammadreza, Hamidreza Arasteh, Alireza Sheikhi Fini, and Vahid Vahidinasab. "Demand Response Requirements from the Cultural, Social, and Behavioral Perspectives." Applied Sciences 11, no. 23 (2021): 11456. http://dx.doi.org/10.3390/app112311456.

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Demand-side response programs, commonly known as demand response (DR), are interesting ways to attract consumers’ participation to improve electric consumption patterns. Customers are encouraged to modify their usage patterns in reaction to price increases through DR programs. When wholesale market prices are high or network reliability is at risk, DR can help to establish a balance between electricity generation and consumption by providing incentives or considering penalties. The overall objective of adopting DR programs is to increase network reliability and decrease operational costs. Neve
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H. Al-Kharsan, Ibrahim, Ali Z. Ghazi Zahid, Ali F.Marhoon, and Jawad Radhi Mahmood. "Demand response programs in smart grids – survey." International Journal of Engineering & Technology 7, no. 4 (2019): 5090–99. http://dx.doi.org/10.14419/ijet.v7i4.23797.

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The smart grid in this century has an essential role in changing the philosophy of the electrical power engineering. In the past, the generation must be equal to the demand under any situation but with the introduction of the non-conventional grids everything is changed, and the customers should consume energy in the same amount to what already generated from the generation units. The tool to achieve all that is the demand response (DR) strategy. DR can alter the consumption pattern of the consumers to make it flatting instead of the sharp curves that lead to additional costs coming from the i
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Faria, Pedro, and Zita Vale. "A Demand Response Approach to Scheduling Constrained Load Shifting." Energies 12, no. 9 (2019): 1752. http://dx.doi.org/10.3390/en12091752.

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Demand response (DR) and its advantages are nowadays unquestionable due to the success of several recent implementations of DR programs. Improved methodologies and approaches are needed for the adequate consumers’ schedule in DR events, taking the consumers’ behaviour and preferences into account. In this paper, a virtual power player manages DR programs, minimizing operation costs, respecting the consumption shifting constraints. The impact of the consumption shifting in the target periods is taken into consideration. The advantages of the DR use in comparison with distributed generation (DG)
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Vahid-Ghavidel, Morteza, Mohammad Sadegh Javadi, Matthew Gough, Sérgio F. Santos, Miadreza Shafie-khah, and João P. S. Catalão. "Demand Response Programs in Multi-Energy Systems: A Review." Energies 13, no. 17 (2020): 4332. http://dx.doi.org/10.3390/en13174332.

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A key challenge for future energy systems is how to minimize the effects of employing demand response (DR) programs on the consumer. There exists a diverse range of consumers with a variety of types of loads, such as must-run loads, and this can reduce the impact of consumer participation in DR programs. Multi-energy systems (MES) can solve this issue and have the capability to reduce any discomfort faced by all types of consumers who are willing to participate in the DRPs. In this paper, the most recent implementations of DR frameworks in the MESs are comprehensively reviewed. The DR modellin
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Vardakas, John S., Nizar Zorba, and Christos Verikoukis. "A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms." IEEE Communications Surveys & Tutorials 17, no. 1 (2015): 152–78. https://doi.org/10.1109/COMST.2014.2341586.

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The smart grid concept continues to evolve and various methods have been developed to enhance the energy efficiency of the electricity infrastructure. Demand Response (DR) is considered as the most cost-effective and reliable solution for the smoothing of the demand curve, when the system is under stress. DR refers to a procedure that is applied to motivate changes in the customers' power consumption habits, in response to incentives regarding the electricity prices. In this paper, we provide a comprehensive review of various DR schemes and programs, based on the motivations offered to the con
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Safdar, Madia, Ghulam Amjad Hussain, and Matti Lehtonen. "Costs of Demand Response from Residential Customers’ Perspective." Energies 12, no. 9 (2019): 1617. http://dx.doi.org/10.3390/en12091617.

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Electricity demand in a certain locality varies during the day, depending on weather conditions, daily life routines, or a social event in a town. During high/peak demands, expensive power plants are put into operation, which affects electricity prices. Moreover, power lines are overloaded. If generation capacity is insufficient, a blackout may result. Demand response (DR) programs are widely proposed in energy research to tackle these problems. Although the benefits of DR programs are well known, customer response levels to these programs is low. This is due to the small fraction of benefits
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Park, Herie. "Human Comfort-Based-Home Energy Management for Demand Response Participation." Energies 13, no. 10 (2020): 2463. http://dx.doi.org/10.3390/en13102463.

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The residential building sector is encouraged to participate in demand response (DR) programs owing to its flexible and effective energy resources during peak hours with the help of a home energy management system (HEMS). Although the HEMS contributes to reducing energy consumption of the building and the participation of occupants in energy saving programs, unwanted interruptions and strict guidance from the system cause inconvenience to the occupants further leading to their limited participation in the DR programs. This paper presents a human comfort-based control approach for home energy m
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Ustundag Soykan, Elif, and Mustafa Bagriyanik. "The Effect of SMiShing Attack on Security of Demand Response Programs." Energies 13, no. 17 (2020): 4542. http://dx.doi.org/10.3390/en13174542.

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Demand response (DR) is a vital element for a reliable and sustainable power grid. Consumer behavior is a key factor in the success of DR programs. In this study, we focus on how consumer reaction to Short Messaging Service (SMS) messages can disturb the demand response. We present a new type of threat to DR programs using SMS phishing attacks. We follow a holistic approach starting from a risk assessment focusing on DR programs’ notification message security following the Smart Grid Information Security (SGIS) risk methodology. We identify threats, conduct impact analysis, and estimate the li
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Mohammad, Mirzaei Talabari. "Optimization of grid-connected MicroGrid demand considering demand response." National Security and Strategic Planning 2024, no. 1 (2024): 60–65. http://dx.doi.org/10.37468/2307-1400-2024-1-60-65.

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Electricity grid is a product of urbanization expansion and rapid development of various infrastructures worldwide and over the past centuries. Although power companies are located in diverse regions, they typically use the same technologies to generate and distribute electricity. Proper implementation of the demand response (DR) program should be provided with some equipment to make subscribers aware of electricity price at any time and accordingly provide a proper response to the grid to reduce costs. This, in turn, reduces demand during peak hours. The intelligent grid, using the two-way co
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Dissertations / Theses on the topic "Demand response (DR) programs"

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Shony, Isho, and Oscar Eriksson. "POTENTIAL FOR DEMAND RESPONSE : A case study- describing the potential for electricity demand response in Swedish grocery stores." Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-32345.

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Adhikari, Rajendra. "Algorithms and Simulation Framework for Residential Demand Response." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/87585.

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An electric power system is a complex network consisting of a large number of power generators and consumers interconnected by transmission and distribution lines. One remarkable thing about the electric grid is that there has to be a continuous balance between the amount of electricity generated and consumed at all times. Maintaining this balance is critical for the stable operation of the grid and this task is achieved in the long term, short term and real-time by operating a three-tier wholesale electricity market consisting of the capacity market, the energy market and the ancillary servic
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Bartusch, Cajsa. "Boosting behavioral change in residential electricity consumption : demand response programs and feedback." Doctoral thesis, Mälardalens högskola, Akademin för hållbar samhälls- och teknikutveckling, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-13214.

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As part of realizing national and European climate ambitions, it is imperative to bring about increased energy efficiency and consumption flexibility in the residential sector of the Swedish power market. In addition to governmental policy instruments to this end, market-based measures play an important role in making behavioral change in domestic electricity use happen. In light of the prevailing lack of incentives for residential consumers to save electricity and cut peak demand at times of physical and financial market constraints, the research studies that form the basis of this thesis hav
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Nwulu, Mnandi Ikechi. "Optimal energy management of power systems and microgrids incorporating demand response programs." Thesis, University of Pretoria, 2015. http://hdl.handle.net/2263/56097.

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The energy management of today s power system is of utmost importance because of the increasing complexity of today s power system operations. One of the core energy management functions is determining the optimal dispatch of conventional generators whilst minimizing or maximizing some pre-determined objective function which can either be minimizing costs, minimizing emissions or maximizing profit. These problems have been explicitly defined as the Dynamic Economic Emissions Dispatch (DEED) which is concerned with determining the optimal dispatch of generators whilst minimizing costs and
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Aketi, Venkata Sesha Praneeth. "Prices in Wholesale Electricity Markets and Demand Response." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1388765872.

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Mohammad, Nur. "Competitive demand response trading in electricity markets: Aggregator and end-user perspectives." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/119702/1/Nur_Mohammad_Thesis.pdf.

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Increased contributions toward power systems from renewable supplies require flexible demand-side resources to maintain balance in supply and demand. Demand response (DR) as one of the emerging demand-side resources can be used to compensate for the over/under supply problem of renewable energy. From an economic point and a network perspective, aggregators can offer the DR delivery bids in those locations (and times) in power systems that could reduce operating cost and the market clearing price. This research proposes a bi-level electricity market model for smart-grid with different combinati
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Ersson, Lisbet. "Möjligheter och utmaningar för demand response i byggnader : En utvärdering av effektbesparingar kontra påverkan på inomhusklimatet i kontorsbyggnader." Thesis, Uppsala universitet, Elektricitetslära, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-446127.

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This thesis examines the possibilities and limitations of connectingoffice buildings to demand response (DR) programs, with emphasis on the effect it has on indoor climate. Heating, ventilation and airconditioning (AC) systems was used as sources to scale power, and thereby contribute with power to capacity markets related to the electrical grid. By simulations performed in MatLab, as well as livetests in one of Vasakronan’s buildings, this work contributes with knowledge of DR in office buildings in the Swedish environment, which to date have been lacking in literature. All systems considered
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Celik, Berk. "Coordination mechanisms for smart homes electric energy management through distributed resource scheduling with demand response programs." Thesis, Bourgogne Franche-Comté, 2017. http://www.theses.fr/2017UBFCA013/document.

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La modernisation des réseaux électriques via ce que l'appelle aujourd'hui les réseaux intelligents (ou smart grids) promet des avancées pour permettre de faire face à une augmentation de la demande mondiale ainsi que pour faciliter l'intégration des ressources décentralisées. Grâce à des moyens de communication et de calcul avancés, les smart grids offrent de nouvelles possibilités pour la gestion des ressources des consommateurs finaux, y compris pour de petits éléments comme de l'électroménager. Cependant, ce type de gestion basée sur des décisions prises indépendamment peuvent causer des pe
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Lee, Seungman. "Optimization and Simulation Based Cost-Benefit Analysis on a Residential Demand Response : Applications to the French and South Korean Demand Response Mechanisms." Thesis, Paris Sciences et Lettres (ComUE), 2019. http://www.theses.fr/2019PSLED054.

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À cause de la préoccupation mondiale sur les émissions de CO2, le changement climatique et la transition énergétique, nous faisons plus d'attention à la maîtrise de la demande d'électricité. En particulier, avec l'effacement de consommation électrique, nous pouvons profiter de plusieurs avantages, comme l'augmentation de l'efficacité de l'ensemble du marché de l'électricité, la sécurité d'approvisionnement d'électricité renforcée, et l'investissement plus efficace et souhaitable ainsi que l'avantage de l'environnement et le soutien aux énergies renouvelables. En Europe, la France a démarré le
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Ameri, Sianaki Omid. "Intelligent Decision Support System for Energy Management in Demand Response Programs and Residential and Industrial Sectors of the Smart Grid." Thesis, Curtin University, 2015. http://hdl.handle.net/20.500.11937/1358.

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This PhD thesis addresses the complexity of the energy efficiency control problem in residential and industrial customers of Smart electrical Grid, and examines the main factors that affect energy demand, and proposes an intelligent decision support system for applications of demand response. A multi criteria decision making algorithm is combined with a combinatorial optimization technique to assist energy managers to decide whether to participate in demand response programs or obtain energy from distributed energy resources.
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Books on the topic "Demand response (DR) programs"

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New Jersey. Legislature. Joint Committee on the Public Schools. Committee meeting of Joint Committee on the Public Schools: Commissioner of education, Dr. Leo Klagholz and Newark state district superintendent, Dr. Beverly Hall will present the district's strategic plan. The Committee, 1996.

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New Jersey. Legislature. Joint Committee on the Public Schools. Committee meeting of Joint Committee on the Public Schools: Commissioner of Education Dr. Leo Klagholz, and Paterson State District Superintendent, Dr. Laval S. Wilson, will present the District's strategic plan. The Unit, 1997.

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New Jersey. Legislature. Joint Committee on the Public Schools. Committee meeting of Joint Committee on the Public Schools: Commissioner of Education, Dr. William Librera, will make a presentation of the New Jersey Quality Single Accountability Continuum proposal [June 17, 2004, Trenton, New Jersey]. The Unit, 2004.

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Selecting and Implementing Demand Response Programs to Support Grid Flexibility: A Guidance Note for Practitioners. Washington, DC: World Bank, 2024. https://doi.org/10.1596/42516.

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Moore, Marshall, and Sam Meekings, eds. The Scholarship of Creative Writing Practice. Bloomsbury Publishing Plc, 2024. http://dx.doi.org/10.5040/9781350291027.

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The first study to explore deeply and intimately the complex and multifaceted nature of creative writing practice, The Scholarship of Creative Writing and Practice offers a new route in scholarly inquiry for creative writing studies, probing beyond pedagogical methods (with which most of the field’s scholarship is occupied) to explore the writing life as it is experienced by a wealth of international writer/academics. With academic creative writing programs beginning to adopt a more pragmatic, industry-focused stance, students of writing increasingly need and expect to complete their degrees m
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Galenson, Walter. New Trends in Employment Practices. Greenwood Publishing Group, Inc., 1990. http://dx.doi.org/10.5040/9798216979722.

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A terse, well-written, up-to-date, and refreshing account of recent developments in employment practices across a sample of seven industrialized nations, including the Soviet Union, by an established scholar of comparative systems. The trends discussed are industrial democracy at enterprise and establishment level, quality of working life, job tenure and security of employment, personnel policy, and working time arrangements. . . . The book provides a useful and accessible introduction to a number of important themes in the management and maintenance of human resources. . . . Highly recommende
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Book chapters on the topic "Demand response (DR) programs"

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Wicaksono, Hendro, Tina Boroukhian, and Atit Bashyal. "A Demand-Response System for Sustainable Manufacturing Using Linked Data and Machine Learning." In Dynamics in Logistics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88662-2_8.

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AbstractThe spread of demand-response (DR) programs in Europe is a slow but steady process to optimize the use of renewable energy in different sectors including manufacturing. A demand-response program promotes changes of electricity consumption patterns at the end consumer side to match the availability of renewable energy sources through price changes or incentives. This research develops a system that aims to engage manufacturing power consumers through price- and incentive-based DR programs. The system works on data from heterogeneous systems at both supply and demand sides, which are lin
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Hadayeghparast, Shahrzad, and Hadis Karimipour. "Comprehensive Modeling of Demand Response Programs." In Demand Response Application in Smart Grids. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-31399-9_2.

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Saeed, Faisal, Anand Paul, Seungmin Rho, and Muhammad Jamal Ahmed. "Demand Response: Multiagent System Based DR Implementation." In Transactions on Computational Science and Computational Intelligence. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70296-0_68.

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Saeed, Faisal, Anand Paul, Seungmin Rho, and Muhammad Jamal Ahmed. "Demand Response: Multiagent System Based DR Implementation." In Transactions on Computational Science and Computational Intelligence. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70296-0_68.

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Du, Pengwei, Ning Lu, and Haiwang Zhong. "Basic Control Approach for Aggregated Demand Response Programs." In Demand Response in Smart Grids. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19769-8_3.

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Akbari-Dibavar, Alireza, Amir Farahmand-Zahed, and Behnam Mohammadi-Ivatloo. "Concept and Glossary of Demand Response Programs." In Demand Response Application in Smart Grids. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-31399-9_1.

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Vahidi, Behrooz, and Hamed Dehghani. "Linear and Nonlinear Modeling of Demand Response Programs." In Demand Response Application in Smart Grids. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-31399-9_3.

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Jabari, Farkhondeh, Mousa Mohammadpourfard, and Behnam Mohammadi-Ivatloo. "Implementation of Demand Response Programs on Unit Commitment Problem." In Demand Response Application in Smart Grids. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32104-8_2.

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Farahmand-Zahed, Amir, Alireza Akbari-Dibavar, Sayyad Nojavan, and Kazem Zare. "Demand-Side Management Programs of the International Energy Agency." In Demand Response Application in Smart Grids. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-31399-9_6.

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Yazdandoust, Maedeh, and Masoud Aliakbar Golkar. "Participation of Aggregated Electric Vehicles in Demand Response Programs." In Electric Vehicles in Energy Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34448-1_14.

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Conference papers on the topic "Demand response (DR) programs"

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Faiz, Rethwan, Nuzat Nuary Alam, Abu Hena MD Shatil, Rakibul Islam, Ahsanul Haque, and Mohammad Hasan Imam. "Research on Optimizing Demand Response Programs using LSTM Networks." In 2025 4th International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST). IEEE, 2025. https://doi.org/10.1109/icrest63960.2025.10914394.

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Peinado-Guerrero, Miguel A., Nicolas A. Campbell, Jesus R. Villalobos, and Patrick E. Phelan. "A Framework for Demand-Side Management With Demand Response Input." In ASME 2020 Power Conference collocated with the 2020 International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/power2020-16635.

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Abstract A framework is proposed for demand-side load management (DSLM) of manufacturers participating in demand response (DR) programs. Utilities are increasingly focused on enticing their portfolios of energy end-users to adjust their energy use patterns in a mutually beneficial manner such as with DR programs. DR programs allow the utility to receive bulk peak load reduction and the participating end-user to receive credit towards their electricity bills. Once an end-user is enrolled in a DR program, they receive periodic requests for some amount of load reduction, typically the day before.
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Olawale, Opeoluwa Wonuola, Benjamin Gilbert, and Janet Reyna. "Demand Response Analysis for Different Residential Personas in a Comfort-Driven Behavioral Context." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-73143.

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Abstract Low demand response (DR) participation and high program drop-out rates continue to impede DR goals that could save up to $13 billion in annual grid expansion and electricity demand costs. Yet, the literature lacks a thorough understanding of how different residential customer segments enrolled in DR programs respond to utility signals in view of occupant comfort considerations. The objective of this study is to gain a clear understanding of the effects of four different customer personas on residential DR. Given current data limitations, this work developed an array of hypothetical pe
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Toub, Mohamed, Mahdi Shahbakhti, Rush D. Robinett, and Ghassane Aniba. "Model Predictive Control of Micro-CSP Integrated Into a Building HVAC System for Load Following Demand Response Programs." In ASME 2019 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dscc2019-9106.

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Abstract Building heat, ventilation and air conditioning (HVAC) systems are good candidates for demand response (DR) programs as they can flexibly alter their consumption to provide ancillary services to the grid and contribute to frequency and voltage regulation. One of the major ancillary services is the load following demand response (DR) program where the demand side tries to track a DR load profile required by the grid. This paper presents a real-time Model Predictive Control (MPC) framework for optimal operations of a micro-scale concentrated solar power (MicroCSP) system integrated into
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Kumar, Nikhil, and Steven A. Lefton. "The Value of Demand Response (DR) to Mitigate Wind Integration Costs in a Smart Grid." In ASME 2011 Power Conference collocated with JSME ICOPE 2011. ASMEDC, 2011. http://dx.doi.org/10.1115/power2011-55200.

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In the last five years the electric grid worldwide has seen increasing amounts of installed wind generation capacity. Over the last five years, North America (USA and Canada) has witnessed wind capacity grow at an annual rate of over 30%. At the same time, increasing investments in smart grid technologies have enabled improvements in energy products such as Demand Response (DR). The utility industry, system operators and regulators are investing heavily to understand and determine the impacts of increasing wind penetration on the power system. As explored below, an often neglected, but importa
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Mathieu, Johanna L., Ashok J. Gadgil, Duncan S. Callaway, Phillip N. Price, and Sila Kiliccote. "Characterizing the Response of Commercial and Industrial Facilities to Dynamic Pricing Signals From the Utility." In ASME 2010 4th International Conference on Energy Sustainability. ASMEDC, 2010. http://dx.doi.org/10.1115/es2010-90266.

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We describe a method to generate statistical models of electricity demand from Commercial and Industrial (C&I) facilities including their response to dynamic pricing signals. Models are built with historical electricity demand data. A facility model is the sum of a baseline demand model and a residual demand model; the latter quantifies deviations from the baseline model due to dynamic pricing signals from the utility. Three regression-based baseline computation methods were developed and analyzed. All methods performed similarly. To understand the diversity of facility responses to dynami
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Vibhute, Siddhant, Deepti Shakya, and Anupama Kowli. "Quantifying the Demand Response Potential of Residential Loads in India." In ENERGISE 2023. Alliance for an Energy Efficient Economy (AEEE), 2024. http://dx.doi.org/10.62576/xedc4346.

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The paper investigates how residential loads in India contribute to grid peak load and how to manage such peaks. Algorithms that process smart meter data from residential loads and compute attributes that capture their contribution to the system peak are devised and demonstrated in the paper. Specifically, a distribution system is considered based on a study on households in Pune, India. To enhance the household dataset for analysis, a synthetic data generation technique is employed. The algorithms developed here are applied to this system to showcase their capabilities. Results show how simpl
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Dunbar, Samuel, and Scott Ferguson. "The Impact of Consumer Preference Distributions on Dynamic Electricity Pricing for Residential Demand Response." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-98219.

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Abstract Demand Response (DR) is the adjustment of consumer electricity demand through the deployment of one or more strategies, e.g. direct load control, policy implementation, dynamic pricing, or other economic incentives. Widespread implementation of DR is a promising solution for addressing energy challenges such as the integration of intermittent renewable energy resources, reducing capacity cost, and improving grid reliability. Understanding residential consumer preferences for shifting product usage and how these preferences are distributed amongst a population are key to predicting the
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Addy, Nathan, Johanna L. Mathieu, Sila Kiliccote, and Duncan S. Callaway. "Understanding the Effect of Baseline Modeling Implementation Choices on Analysis of Demand Response Performance." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-86973.

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Accurate evaluation of the performance of buildings participating in Demand Response (DR) programs is critical to the adoption and improvement of these programs. Typically, we calculate load sheds during DR events by comparing observed electric demand against counterfactual predictions made using statistical baseline models. Many baseline models exist and these models can produce different shed calculations. Moreover, modelers implementing the same baseline model can make different modeling implementation choices, which may affect shed estimates. In this work, using real data, we analyze the e
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Addy, Nathan, Johanna L. Mathieu, Sila Kiliccote, and Duncan S. Callaway. "Understanding the Effect of Baseline Modeling Implementation Choices on Analysis of Demand Response Performance." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-63717.

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Accurate evaluation of the performance of buildings participating in Demand Response (DR) programs is critical to the adoption and improvement of these programs. Typically, we calculate load sheds during DR events by comparing observed electric load against counterfactual predictions made using statistical baseline models. Many baseline models exist and these models can produce different shed estimates. Moreover, modelers implementing the same baseline model can make different modeling implementation choices, which may affect shed estimates. In this work, using real data, we analyze the effect
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Reports on the topic "Demand response (DR) programs"

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Boisvert, Richard N., and Bernard F. Neenan. Social Welfare implications of demand response programs in competitive electricity markets. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/816220.

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Piette, Mary A., Oren Schetrit, Sila Kiliccote, Iris Cheung, and Becky Z. Li. Costs to Automate Demand Response - Taxonomy and Results from Field Studies and Programs. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1373278.

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Carranza, Juan Esteban, María Marta Ferreyra, and Ana Maria Gazmuri. The dynamic market for short-cycle higher education programs. Banco de la República, 2023. http://dx.doi.org/10.32468/be.1265.

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We investigate the entry and exit of short-cycle higher education programs (SCPs), which last two or three years and can address local skill needs. Exploiting administrative data from Colombia, we study markets defined by geographic location and field of study. We find that institutions open new programs in response to local labor market demand, competition, and costs. Within markets, they often close and open programs simultaneously, possibly due to capacity constraints. SCPs are more responsive to local labor market demand than bachelor’s programs; private and non-university SCP providers ar
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Lowell, Jon, and Henry Yoshimura. ISO New England: Results of Ancillary Service Pilot Programs, Alternative Technology Regulation Pilot Program and Demand Response Reserves Pilot Program. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1219542.

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Weller, G. H. Review of current Southern California edison load management programs and proposal for a new market-driven, mass-market, demand-response program. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/822264.

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Briones, Roehlano. Food and Nutrient Intake Response to Food Prices and Government Programs: Implications for the Recent Economic Shocks. Philippine Institute for Development Studies, 2022. https://doi.org/10.62986/dp2022.44.

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This study aims to estimate the short-term impact of the recent rounds of food price inflation and the COVID-19 crisis by estimating a household food demand system converted to energy and nutrient intakes. It demonstrates that recent food and nutrition surveys conducted by the Philippine government are a valuable source of information about household behavior and the impact of economic shocks. It offers a novel methodology for incorporating computing selection effects in determinants in estimating price and income elasticities. The study was nevertheless able to determine that the COVID-19 soc
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Goldman, Charles, Grayson Heffner, and Michael CW Kintner-Meyer. Impact of Enabling Technologies on Customer Load Curtailment Performance Summer 2001 Results from NYSERDA's PON 585 and 577 Programs and NYISO's Emergency Demand Response Program. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/15010040.

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Goldman, Charles, Grayson Heffner, and Michael Kintner-Meyer. Impact of enabling technologies on customer load curtailment performance: Summer 2001 results from NYSERDA's PON 585 and 577 programs and NYISO's emergency demand response program. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/795362.

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Talukder, Md Noorunnabi, Abdullah Al Mahmud Shohag, Mohammad Muktadir Hossain, Sharif Hossain, and Ubaidur Rob. Replication of soft skills training in the Rohingya camp and host community in Cox’s Bazar, Bangladesh. Population Council, 2024. https://doi.org/10.31899/sbsr2024.1043.

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The Population Council in collaboration with Research, Training and Management International (RTMI) and Underprivileged Children’s Education Program (UCEP) implemented a pilot project on soft skills training in Cox’s Bazar in 2022 and 2023. The purpose of this training was to improve the personal, social, and financial management skills of Rohingya youth, which would be useful on their return to Myanmar or during their interim period of stay in Bangladesh. This pilot initiative also included host community youth. The Council found the soft skills training relevant and necessary for the lives o
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Wintjes, Rene, and Fernando Vargas. Digital Innovation Hubs: Insights from European Experience in Supporting Business Digitalization. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0004995.

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Digital technologies can boost regional and sectoral productivity, yet firms in Latin American and Caribbean (LAC) countries are experiencing shortfalls in digital uptake and innovation. This is partly due to a scarcity of knowledge suppliers able to respond to the region's or countries' diverse needs. Digital innovation hubs (DIHs) can offer a collaborative, location-based approach and address these gaps. This study analyzes data from over 300 DIHs in Europe, revealing that university-affiliated DIHs offer sophisticated services, such as collaborative research and testing facilities, while in
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