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[HTML][HTML] Demand response performance and uncertainty: A systematic literature review
The present review has been carried out, resorting to the PRISMA methodology, analyzing
218 published articles. A comprehensive analysis has been conducted regarding the …
218 published articles. A comprehensive analysis has been conducted regarding the …
Integrated demand response modeling and optimization technologies supporting energy internet
M Jiang, Z Xu, H Zhu, HH Goh, TA Kurniawan… - … and Sustainable Energy …, 2024 - Elsevier
Energy transformation and consumption improvements have enhanced the planning and
utilization of various energy sources. With the rapid expansion of integrated energy systems …
utilization of various energy sources. With the rapid expansion of integrated energy systems …
Peer-to-peer energy trading in smart grid through blockchain: A double auction-based game theoretic approach
In a smart grid, each residential unit with renewable energy sources can trade energy with
others for profit. Buyers with insufficient energy meet their demand by buying the required …
others for profit. Buyers with insufficient energy meet their demand by buying the required …
Distributed deep reinforcement learning for intelligent load scheduling in residential smart grids
The power consumption of households has been constantly growing over the years. To cope
with this growth, intelligent management of the consumption profile of the households is …
with this growth, intelligent management of the consumption profile of the households is …
Modified deep learning and reinforcement learning for an incentive-based demand response model
L Wen, K Zhou, J Li, S Wang - Energy, 2020 - Elsevier
Incentive-based demand response (DR) program can induce end users (EUs) to reduce
electricity demand during peak period through rewards. In this study, an incentive-based DR …
electricity demand during peak period through rewards. In this study, an incentive-based DR …
Incentive-based integrated demand response considering S&C effect in demand side with incomplete information
S Zheng, Y Sun, B Qi, B Li - IEEE Transactions on Smart Grid, 2022 - ieeexplore.ieee.org
Incentive-based integrated demand response (IDR) has been recognized as a powerful tool
to mitigate supply-demand imbalance in integrated energy systems with high penetration of …
to mitigate supply-demand imbalance in integrated energy systems with high penetration of …
Pareto optimal demand response based on energy costs and load factor in smart grid
WY Chiu, JT Hsieh, CM Chen - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
Demand response for residential users is essential to the realization of modern smart grids.
In this paper, we propose a multiobjective approach to designing a demand response …
In this paper, we propose a multiobjective approach to designing a demand response …
Contract-theoretic demand response management in smart grid systems
The sheer growth of electricity demand and the rising number of electricity-hungry devices
have highlighted and elevated the need of addressing the demand response management …
have highlighted and elevated the need of addressing the demand response management …
Privacy-preserving demand response of aggregated residential load
The randomness, dispersion, and small capacity of residential load make it difficult to
participate in incentive-based demand response. Meanwhile, the rapid development of …
participate in incentive-based demand response. Meanwhile, the rapid development of …
Real time demand response modeling for residential consumers in smart grid considering renewable energy with deep learning approach
Demand response modelling have paved an important role in smart grid at a greater
perspective. DR analysis exhibits the analysis of scheduling of appliances for an optimal …
perspective. DR analysis exhibits the analysis of scheduling of appliances for an optimal …