[HTML][HTML] Demand-side management in industrial sector: A review of heavy industries

H Golmohamadi - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
The penetration of renewable energies is increasing in power systems all over the world.
The volatility and intermittency of renewable energies pose real challenges to energy …

A comprehensive review on energy management, demand response, and coordination schemes utilization in multi-microgrids network

A Nawaz, M Zhou, J Wu, C Long - Applied Energy, 2022 - Elsevier
The multi-microgrids (MMGs) concept has recently got more attention due to its features of
accommodating large-scale integration of renewable generation with efficient utilization …

[HTML][HTML] A three-layer game theoretic-based strategy for optimal scheduling of microgrids by leveraging a dynamic demand response program designer to unlock the …

SA Mansouri, Á Paredes, JM González, JA Aguado - Applied Energy, 2023 - Elsevier
The proliferation of the number of Smart Buildings (SBs) and the fleet of Electric Vehicles
(EVs) in Distribution Systems (DSs) makes the need for new strategies to coordinate them …

Incentive-based demand response for smart grid with reinforcement learning and deep neural network

R Lu, SH Hong - Applied energy, 2019 - Elsevier
Balancing electricity generation and consumption is essential for smoothing the power grids.
Any mismatch between energy supply and demand would increase costs to both the service …

Key technologies for smart energy systems: Recent developments, challenges, and research opportunities in the context of carbon neutrality

H Zhu, HH Goh, D Zhang, T Ahmad, H Liu… - Journal of Cleaner …, 2022 - Elsevier
Energy crisis and environmental pollution have expedited the transition of the energy
system. Global use of low-carbon energy has increased from 1: 6.16 to 1: 5.37. Smart energy …

Incremental incentive mechanism design for diversified consumers in demand response

D Liu, Z Qin, H Hua, Y Ding, J Cao - Applied Energy, 2023 - Elsevier
Demand response has been proven to be an effective way to improve energy utilization
efficiency. It is notable that the diversified characteristics of residential consumers, which …

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 …

[HTML][HTML] Incentive mechanisms for smart grid: State of the art, challenges, open issues, future directions

S Bhattacharya, R Chengoden, G Srivastava… - Big Data and Cognitive …, 2022 - mdpi.com
Smart grids (SG) are electricity grids that communicate with each other, provide reliable
information, and enable administrators to operate energy supplies across the country …

Price-based residential demand response management in smart grids: A reinforcement learning-based approach

Y Wan, J Qin, X Yu, T Yang… - IEEE/CAA Journal of …, 2021 - ieeexplore.ieee.org
This paper studies price-based residential demand response management (PB-RDRM) in
smart grids, in which non-dispatchable and dispatchable loads (including general loads and …

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 …