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[HTML][HTML] Dynamic grid stability in low carbon power systems with minimum inertia
The power system transition to large penetrations of renewable generation has become a
core target of decarbonisation roadmaps in many countries. However, switching from …
core target of decarbonisation roadmaps in many countries. However, switching from …
[HTML][HTML] A comprehensive review on demand side management and market design for renewable energy support and integration
The traditional power system is facing significant transformations due to the integration of
emerging technologies, renewable energy sources (RES), and storage devices. This review …
emerging technologies, renewable energy sources (RES), and storage devices. This review …
Two-phase operation for coordinated charging of electric vehicles in a market environment: From electric vehicle aggregators' perspective
The increasing penetration of electric vehicles (EVs) poses challenges to the operation of
existing power systems owing to the spatial and temporal randomness and dynamics of EV …
existing power systems owing to the spatial and temporal randomness and dynamics of EV …
IoT-based optimal demand side management and control scheme for smart microgrid
Renewable energy resources (RESs) are highly speared to cover colossal electricity
demand. Smart microgrids (SMGs) are engaged with demand-side management (DSM) to …
demand. Smart microgrids (SMGs) are engaged with demand-side management (DSM) to …
Explainable multi-agent deep reinforcement learning for real-time demand response towards sustainable manufacturing
The demand response (DR) plays a significant role in manufacturing system energy
management and sustainable industrial development. Current literature on DR management …
management and sustainable industrial development. Current literature on DR management …
Refined peak shaving potential assessment and differentiated decision-making method for user load in virtual power plants
X Kong, Z Wang, C Liu, D Zhang, H Gao - Applied Energy, 2023 - Elsevier
There is a consensus regarding the need to realize the transformation of renewable energy
by enhancing demand-side regulating ability. This paper proposes a peak shaving potential …
by enhancing demand-side regulating ability. This paper proposes a peak shaving potential …
DRL-HEMS: Deep reinforcement learning agent for demand response in home energy management systems considering customers and operators perspectives
With the smart grid and smart homes development, different data are made available,
providing a source for training algorithms, such as deep reinforcement learning (DRL), in …
providing a source for training algorithms, such as deep reinforcement learning (DRL), in …
Incentive-based integrated demand response for multiple energy carriers considering behavioral coupling effect of consumers
S Zheng, Y Sun, B Li, B Qi, K Shi… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Incentive-based demand response (DR) has been recognized as a powerful tool to mitigate
supply-demand imbalance in electricity market. However, it cannot be directly applied into …
supply-demand imbalance in electricity market. However, it cannot be directly applied into …
Online pricing of demand response based on long short-term memory and reinforcement learning
X Kong, D Kong, J Yao, L Bai, J **ao - Applied energy, 2020 - Elsevier
Incentive-based demand response is playing an increasingly important role in ensuring the
safe operation of the power grid and reducing system costs, and advances in information …
safe operation of the power grid and reducing system costs, and advances in information …
Robust day-ahead coordinated scheduling of multi-energy systems with integrated heat-electricity demand response and high penetration of renewable energy
J Lu, T Liu, C He, L Nan, X Hu - Renewable Energy, 2021 - Elsevier
As fossil fuels dry up and the proportion of renewable energy increases, multi-energy system
(MES) becomes an effective way to realize renewable energy accommodation. High …
(MES) becomes an effective way to realize renewable energy accommodation. High …