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Gotowa bibliografia na temat „Demand side management (DSM) Peak-to average ratio(PAR)”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Demand side management (DSM) Peak-to average ratio(PAR)"

Nasir, Tehreem, Syed Sabir Hussain Bukhari, Safdar Raza, et al. "Recent Challenges and Methodologies in Smart Grid Demand Side Management: State-of-the-Art Literature Review." Mathematical Problems in Engineering 2021 (August 6, 2021): 1–16. http://dx.doi.org/10.1155/2021/5821301.

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The concept of smart grid was introduced a decade ago. Demand side management (DSM) is one of the crucial aspects of smart grid that provides users with the opportunity to optimize their load usage pattern to fill the gap between energy supply and demand and reduce the peak to average ratio (PAR), thus resulting in energy and economic efficiency ultimately. The application of DSM programs is lucrative for both utility and consumers. Utilities can implement DSM programs to improve the system power quality, power reliability, system efficiency, and energy efficiency, while consumers can experien

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Philipo, Godiana Hagile, Josephine Nakato Kakande, and Stefan Krauter. "Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping." Energies 15, no. 14 (2022): 5215. http://dx.doi.org/10.3390/en15145215.

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Due to failures or even the absence of an electricity grid, microgrid systems are becoming popular solutions for electrifying African rural communities. However, they are heavily stressed and complex to control due to their intermittency and demand growth. Demand side management (DSM) serves as an option to increase the level of flexibility on the demand side by scheduling users’ consumption patterns profiles in response to supply. This paper proposes a demand-side management strategy based on load shifting and peak clipping. The proposed approach was modelled in a MATLAB/Simulink R2021a envir

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Awais, Muhammad, Nadeem Javaid, Khursheed Aurangzeb, Syed Haider, Zahoor Khan, and Danish Mahmood. "Towards Effective and Efficient Energy Management of Single Home and a Smart Community Exploiting Heuristic Optimization Algorithms with Critical Peak and Real-Time Pricing Tariffs in Smart Grids." Energies 11, no. 11 (2018): 3125. http://dx.doi.org/10.3390/en11113125.

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Nowadays, automated appliances are exponentially increasing. Therefore, there is a need for a scheme to accomplish the electricity demand of automated appliances. Recently, many Demand Side Management (DSM) schemes have been explored to alleviate Electricity Cost (EC) and Peak to Average Ratio (PAR). In this paper, energy consumption problem in a residential area is considered. To solve this problem, a heuristic based DSM technique is proposed to minimize EC and PAR with affordable user’s Waiting Time (WT). In heuristic techniques: Bacterial Foraging Optimization Algorithm (BFOA) and Flower Po

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Ramu, Priyadharshini, Sivasankar Gangatharan, Sankar Rangasamy, and Lucian Mihet-Popa. "Categorization of Loads in Educational Institutions to Effectively Manage Peak Demand and Minimize Energy Cost Using an Intelligent Load Management Technique." Sustainability 15, no. 16 (2023): 12209. http://dx.doi.org/10.3390/su151612209.

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The inclusion of photovoltaics (PV) in electric power supply systems continues to be a significant factor in global interest. However, solar power exhibits intermittent uncertainty and is further unpredictable. Accurate solar generation prediction and efficient utilization are mandatory for power distribution management and demand-side management. Peak demand management and reducing energy costs can be effectively tackled through the implementation of a reliable solar power forecasting system and its efficient utilization. In this regard, the proposed work is related to efficiently managing so

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Tamilarasu, Karthick, Charles Raja Sathiasamuel, Jeslin Drusila Nesamalar Joseph, Rajvikram Madurai Elavarasan, and Lucian Mihet-Popa. "Reinforced Demand Side Management for Educational Institution with Incorporation of User’s Comfort." Energies 14, no. 10 (2021): 2855. http://dx.doi.org/10.3390/en14102855.

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Soaring energy demand and the establishment of various trends in the energy market have paved the way for developing demand-side management (DSM) from the consumer side. This paper proposes a reinforced DSM (RDSM) approach that uses an enhanced binary gray wolf optimization algorithm (EBGWO) that benefits the consumer premises with load scheduling, and peak demand reduction. To date, DSM research has been carried out for residential, commercial and industrial loads, whereas DSM approaches for educational loads have been less studied. The institution load also consumes much utility energy durin

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Ashraf, Maria, Maryam Arshad, Sajjad Haider Zaidi, and Kiran Shaukat. "Balancing comfort and conservation: dynamic programming algorithm for appliance scheduling in residential demand-side management." Mehran University Research Journal of Engineering and Technology 44, no. 3 (2025): 10–18. https://doi.org/10.22581/muet1982.0051.

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With the exponential upward thrust in residential energy consumption, effective Demand-Side Management (DSM) has come to be vital to ensure grid balance and user satisfaction. This paper proposes a holistic and customer-centric method for DSM via the improvement of the Automated Load Scheduling (ALS) algorithm. Unlike conventional strategies that neglect user preferences, ALS permits dynamic equipment categorization, priority-based scheduling, and real-time consumption comments, ensuring active consumer participation. The ALS set of rules employs dynamic programming to evenly distribute applia

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Albogamy, Fahad R., Yasir Ashfaq, Ghulam Hafeez, et al. "Optimal Demand-Side Management Using Flat Pricing Scheme in Smart Grid." Processes 10, no. 6 (2022): 1214. http://dx.doi.org/10.3390/pr10061214.

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This work proposes a framework to solve demand-side management (DSM) problem by systematically scheduling energy consumption using flat pricing scheme (FPS) in smart grid (SG). The framework includes microgrid with renewable energy sources (solar and wind), energy storage systems, electric vehicles (EVs), and building appliances like time flexible, power flexible, and base/critical appliances. For the proposed framework, we develop an ant colony optimization (ACO) algorithm, which efficiently schedules smart appliances, and EVs batteries charging/discharging with microgrid and without (W/O) mi

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Alhasnawi, Bilal Naji, Basil H. Jasim, Pierluigi Siano, Hassan Haes Alhelou, and Amer Al-Hinai. "A Novel Solution for Day-Ahead Scheduling Problems Using the IoT-Based Bald Eagle Search Optimization Algorithm." Inventions 7, no. 3 (2022): 48. http://dx.doi.org/10.3390/inventions7030048.

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Advances in technology and population growth are two factors responsible for increasing electricity consumption, which directly increases the production of electrical energy. Additionally, due to environmental, technical and economic constraints, it is challenging to meet demand at certain hours, such as peak hours. Therefore, it is necessary to manage network consumption to modify the peak load and tackle power system constraints. One way to achieve this goal is to use a demand response program. The home energy management system (HEMS), based on advanced internet of things (IoT) technology, h

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Venkatesh, Banala, Padmini Sankaramurthy, Bharatiraja Chokkalingam, and Lucian Mihet-Popa. "Managing the Demand in a Micro Grid Based on Load Shifting with Controllable Devices Using Hybrid WFS2ACSO Technique." Energies 15, no. 3 (2022): 790. http://dx.doi.org/10.3390/en15030790.

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Demand Side Management (DSM) is an effective tool for utilities through reducing the demand of peak load and controlling the utilization of the energy of the system. The implementation of DSM provides benefits for utilities and is profitable for the customers who are involved in this process. DSM based on a load shifting strategy is proposed in this paper by employing various devices to minimize the energy consumption pattern in the system. The proposed hybrid strategy is the joint implementation of the Wingsuit Flying Search Algorithm (WFSA) and Artificial Cell Swarm Optimization (ACSO). The

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et al., Mahmood. "Utilization of ICT and AI techniques in harnessing residential energy consumption for an energy-aware smart city: A review." International Journal of ADVANCED AND APPLIED SCIENCES 8, no. 7 (2021): 50–66. http://dx.doi.org/10.21833/ijaas.2021.07.007.

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Fusion of Information and Communication Technologies (ICT) in traditional grid infrastructure makes it possible to share certain messages and information within the system that leads to optimized use of energy. Furthermore, using Computational Intelligence (CI) in the said domain opens new horizons to preserve electricity as well as the price of consumed electricity effectively. Hence, Energy Management Systems (EMSs) play a vital role in energy economics, consumption efficiency, resourcefulness, grid stability, reliability, and scalability of power systems. The residential sector has its high

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Części książek na temat "Demand side management (DSM) Peak-to average ratio(PAR)"

Nanibabu, Sampatirao, Shakila Baskaran, and Prakash Marimuthu. "Realization of Demand Side Management in Smart Grid." In Optimization Techniques for Hybrid Power Systems. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-0492-1.ch017.

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The concept of demand side management (DSM) must be emphasized in the current era, foreseeing the drastic escalation of energy demand and depleting fossil fuels. DSM ensures effective facility utilization by controlling clients' energy resources and carefully adjusting their energy demand profiles. In this study, the day-ahead load-shifting DSM technique is modeled as a minimization problem to achieve better load profile. The whale optimization algorithm (WOA) is provided for resolving the DSM optimization problem. The proposed work has been tested on three demand zones with various controllab

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