[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 …

Demand response application in industrial scenarios: A systematic mapping of practical implementation

SAB dos Santos, JM Soares, GC Barroso… - Expert Systems with …, 2023 - Elsevier
The industrial sector is the one that consumes the most energy in the world, whereas
manufacturing activities play an important role in the energy consumption in the industry …

Explainable multi-agent deep reinforcement learning for real-time demand response towards sustainable manufacturing

L Yun, D Wang, L Li - Applied Energy, 2023 - Elsevier
The demand response (DR) plays a significant role in manufacturing system energy
management and sustainable industrial development. Current literature on DR management …

Peer-to-peer transactive mechanism for residential shared energy storage

WY Zhang, B Zheng, W Wei, L Chen, S Mei - Energy, 2022 - Elsevier
Shared energy storage is an economic and effective way to solve the problem of renewable
energy consumption. Meanwhile, sharing economy means that each energy storage …

[HTML][HTML] Risk-averse and flexi-intelligent scheduling of microgrids based on hybrid Boltzmann machines and cascade neural network forecasting

M Norouzi, J Aghaei, T Niknam, M Alipour, S Pirouzi… - Applied Energy, 2023 - Elsevier
The future of energy flexibility in microgrids (MGs) is steering towards a highly granular
control of the end-user customers. This calls for more highly accurate uncertainty forecasting …

Peer-to-Peer trading with Demand Response using proposed smart bidding strategy

D Kanakadhurga, N Prabaharan - Applied Energy, 2022 - Elsevier
The electricity demand is increasing rapidly among residential consumers due to the
utilization of many smart appliances. The renewable-based Distributed Generation (DGs) …

Optimal power system flexibility-based scheduling in iron and steel production: a case of steelmaking–refining–continuous casting process

J Wang, Q Wang, W Sun - Journal of Cleaner Production, 2023 - Elsevier
Steelmaking–refining–continuous casting (SRCC), as a key electricity-intensive and flexible
process in the integrated iron and steel production route, has great potential in providing …

Individual household demand response potential evaluation and identification based on machine learning algorithms

R Shi, Z Jiao - Energy, 2023 - Elsevier
Modern power systems are facing an increase in the penetration of renewables to achieve
carbon neutrality targets in the future. Individual household demand response (DR) is a …

Deep reinforcement learning-based demand response for smart facilities energy management

R Lu, R Bai, Z Luo, J Jiang, M Sun… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This work proposes a novel deep reinforcement learning (DRL)-based demand response
algorithm for smart facilities energy management to minimize electricity costs while …

An effective energy management Layout-Based reinforcement learning for household demand response in digital twin simulation

H Liu, Q Liu, C Rao, F Wang, F Alsokhiry, AV Shvetsov… - Solar Energy, 2023 - Elsevier
With the growth in energy consumption, demand response (DR) programs in the power
network have gained popularity and can be expected to become more widespread in the …