[HTML][HTML] Aggregated demand-side energy flexibility: A comprehensive review on characterization, forecasting and market prospects

F Plaum, R Ahmadiahangar, A Rosin, J Kilter - Energy Reports, 2022 - Elsevier
Existing grids have been designed with traditional large centralized generation in mind;
however, with the ever-increasing utilization of renewable distributed energy resources, the …

[HTML][HTML] A survey on microgrid energy management considering flexible energy sources

H Shayeghi, E Shahryari, M Moradzadeh, P Siano - Energies, 2019 - mdpi.com
Aggregation of distributed generations (DGs) along with energy storage systems (ESSs) and
controllable loads near power consumers has led to the concept of microgrids. However, the …

Energy management of smart micro-grid with response loads and distributed generation considering demand response

Y Wang, Y Huang, Y Wang, M Zeng, F Li… - Journal of cleaner …, 2018 - Elsevier
Governmental incentives to develop clean and renewable energy sources, and concerns
about the increasingly serious environmental pollution problem, and the development of …

Incentive determination of a demand response program for microgrids

Y Astriani, GM Shafiullah, F Shahnia - Applied Energy, 2021 - Elsevier
The return on investment for a microgrid can be accelerated if the microgrid can maximize its
profits, either by minimizing the cost of energy production or maximizing the revenue from …

A coordinated dynamic pricing model for electric vehicle charging stations

Z Moghaddam, I Ahmad, D Habibi… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The charging loads of plug-in electric vehicles (PEVs) within a network of charging stations
(CSs) are not uniformly distributed. The load distribution is skewed toward the stations …

A survey of commercial and industrial demand response flexibility with energy storage systems and renewable energy

R Yasmin, BMR Amin, R Shah, A Barton - Sustainability, 2024 - mdpi.com
The transition from traditional fuel-dependent energy systems to renewable energy-based
systems has been extensively embraced worldwide. Demand-side flexibility is essential to …

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 …

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 …

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 …

An improved decentralized scheme for incentive-based demand response from residential customers

CL Dewangan, V Vijayan, D Shukla, S Chakrabarti… - Energy, 2023 - Elsevier
Demand response is becoming increasingly important due to the high penetration of
intermittent and variable renewable energy and electric vehicles in power systems. Real …