Grid frequency regulation through virtual power plant of integrated energy systems with energy storage by Tao Xu, Rujing Wang, He Meng, Mengchao Li, Yu Ji, Ying Zhang, Jianli Zhao, Jiani Xiang

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Optimal Control Strategy of Platform Load Oriented to Network and Load Cooperation by Xuesong Shao, Gaoying Cui, Xiao Chen, Xinrong Ji, Yongxian Yi

“…Based on the uncertainty and mathematical characterization method of the active response of flexible loads, the optimal combination control strategy of demand response resources was proposed to eliminate the problems of heavy load and overload of regional power grid equipment by using the active response ability of flexible loads. …”
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Optimal BESS Sizing for Industrial Facilities Participating in RTP DR by Youssef Shakrina, Rayan Al Sobbahi, Harag Margossian

“…The predictability of their manufacturing lines allows industrial facilities to optimize their production scheduling and to participate in demand response (DR), in day-ahead, real-time pricing (RTP) electricity markets. …”
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A multi-year campus-level smart meter database by Mingchen Li, Zhe Wang, Yao Qu, Kin Ming Chui, Marcus Leung-Shea

“…This dataset supports various research tasks, including load pattern recognition, fault detection, demand response strategies, and load forecasting.…”
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Efficient resource allocation with context-awareness for parked car road side unit-based Internet of vehicles by Peng QIN, Haoting HE, Xiongwen ZHAO, Yang FU, Yu ZHANG, Miao WANG, Shuo WANG, Xue WU

“…In order to reduce the number of road side unit (RSU) and meet the needs of mobile vehicle users for processing latency-sensitive and computation-intensive tasks, a context-aware resource allocation algorithm was proposed based on parked cars.Road side parked vehicles were selected to serve the vehicle users instead of RSU using parking time as a factor for determining whether a parked vehicle could become a parked car roadside unit (PCRSU).In order to further reduce the system response time, a mechanism was designed considering content caching and distribution.In respect to user content caching, PCRSU made personalized content recommendation for vehicle users with awareness by using two elements of user historical search data and point of interest (PoI) area type.In respect to content distribution, PCRSU allocated bandwidth efficiently by sensing the data transmission needs of vehicle users.Extensive experiments show that compared with the existing benchmark methods, the proposed algorithm can select PCRSU more reasonably, effectively reduce the demand response delay, improve the stability of the network while ensuring network coverage, and provide more accurate service content for vehicle users.…”
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Flexibility in Power Systems of Integrating Variable Renewable Energy Sources by Wojciech Lewicki, Hasan Huseyin Coban

“…This study focuses on the analysis of the short-term (operational) and long-term (investment) aspects of providing flexibility with sources of fossil fuel generation, storage, and demand response. The authors discussed the role of power system flexibility at the stage of generation and planning. …”
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A review of control strategies for optimized microgrid operations by Shaibu Ali Juma, Sarah Paul Ayeng'o, Cuthbert Z. M. Kimambo

“…To maximize energy source utilization and overall system performance, various control strategies are implemented, including demand response, energy storage management, data management, and generation‐load management. …”
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INVESTIGATING THE NEXUS BETWEEN GREEN ENERGY AND ARTIFICIAL INTELLIGENCE (AI) by MITHUN S. ULLAL, ADITYA ANAND, POPESCU VIRGIL, BIRAU RAMONA

“…The data available from renewable energy systems can be analyzed by the artificial intelligence (AI) in real time to predict and manage energy generation and demand response which drastically reduces wastage of energy and distribution of energy can be more efficient. …”
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Providing a New Multiobjective Two-Layer Approach for Developing Service Restoration of a Smart Distribution System by Islanding of Faulty Area by Hasan Keshavarz Ziarani, Seyed Hossein Hosseinian, Ahmad Fakharian

“…The important advantages of the proposed approach are low execution time and operational costs. A demand response (DR) program has also been used for optimal system restoration. …”
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Stiffness-Displacement Correlation from the RC Shear Wall Tests of the SAFE Program: Derivation of a Capacity Line Model by Francisco J. Molina, Pierre Pegon, Pierre Labbé

“…This relatively simple model, when used as a capacity line in combination with the demand response spectrum, is able to predict in an approximate manner the maximum response to the applied earthquakes. …”
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Observer-based event triggering security load frequency control for power systems involving air conditioning loads by Xiaoming Wang, Yunlong Bai, Zhiyong Li, Wenguang Zhao, Shixing Ding

“…The proposed strategy incorporates demand response by enabling air conditioning loads (ACs) to participate in frequency regulation, thereby enhancing system flexibility and stability. …”
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Optimal Commissioning of Power Plant Units by Including an Energy Storage System and Demand-Side Program Using a Hybrid Bacterial Foraging and Honey Bee Optimization Method by Afshar Shokri, Hamid Shakibi, Behrooz Sobhani

“…Another problem modeled in this article is that of demand response (DR) in smart grids. To validate the performance of the proposed model, it is tested on a 4-unit system with ESS and the results show its optimal performance. …”
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Two-Stage Black-Start Optimization for Power Systems with Multi-Energy Microgrid as a Black-Start Unit by ZHU Yongqing, CHEN Changming, LI Qingsheng, LI Zhen, ZHANG Zhaofeng, LIN Zhenzhi

“…First, the load-side integrated demand response and the operation characteristics of the electric, thermal, and gas physical energy storage devices in the MEMG are modeled as generalized energy storage. …”
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Multi-step multivariate forecasting of transmission power in NPPs using operational and meteorological data by Jaeseok Yoo, Young-jin Oh, Nam-hyun Kim, Soo-ill Lee, Jaepil Ko

“…Additionally, the model is expected to provide a realistic and practical solution for the power demand response of power plants.…”
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Resilient robust model predictive load frequency control for smart grids with air conditioning loads by Shiluo Jike, Guobao Liu, Feng Li, Changyu Zhang, Qi Wang, Mengxia Zhou, Haiya Qian

“…To accommodate intermittent power generation, the demand response of the system is considered by involving the air conditioning loads in the frequency regulation. …”
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Low‐carbon scheduling model of multi‐virtual power plants based on cooperative game considering failure risks by Chen Wu, Zhinong Wei, Yang Cao, Yiteng Xu, Tiantian Wei, Haiteng Han, Sheng Chen, Haixiang Zang

“…VPP also contains a variety of flexible resources such as demand response (DR), energy storage (ES), and fuel cell (FC). …”
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The control strategy for distributed energy storage devices using fully diffusion strategy by Zejian Liu, Ping Yang, Xu Lin, Ziwei Fan, Cencen Hong

“…Compared with the widely used consensus method, diffusion strategy shows a good performance in realizing demand response for distributed ESUs.…”
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Survey on Complex Optimization and Simulation for the New Power Systems Paradigm by João Soares, Tiago Pinto, Fernando Lezama, Hugo Morais

“…The survey concludes that the study of the integration of distributed renewable generation, demand response, electric vehicles, or even aggregators in the electricity market is still very poor. …”
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Photovoltaic Generation Integration with Radial Feeders Using GA and GIS by Elias Mandefro Getie, Belachew Bantyirga Gessesse, Tewodros Gera Workneh

“…To reduce power loss and improve system loading capacity for demand response, the integration and finding the optimal place of photovoltaic generation take high concern from power system operators and technicians. …”
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Low‐Carbon Optimal Scheduling of Integrated Energy System Based on the Master–Slave Game by Songda Li, Xinmei Wang, Xuying Tan, Lei Li, Yi Zhao, Ming Yu

“…When combined with carbon emission flow in operation, it can promote the low‐carbon and clean power system, encourage distributed renewable resources to connect to the power grid, reduce the carbon content of the power system, enable users to actively participate in low‐carbon demand response, and promote the effective carbon emission reduction of a multi‐microgrid system.…”
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