[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 …
A comprehensive overview of modeling approaches and optimal control strategies for cyber-physical resilience in power systems
Cyber–physical systems (CPSs) are confronted with major problems, such as high
proportions of renewable energy penetration and frequent extreme events, which severely …
proportions of renewable energy penetration and frequent extreme events, which severely …
Residential load forecasting based on LSTM fusing self-attention mechanism with pooling
Day-ahead residential load forecasting is crucial for electricity dispatch and demand
response in power systems. Electrical loads are characterized by volatility and uncertainty …
response in power systems. Electrical loads are characterized by volatility and uncertainty …
General guidelines for the optimal economic aggregation of prosumers in energy communities
Energy communities are regulatory tools promoting aggregations of users to foster the shift
towards a renewable distributed generation. First in the literature, this paper addresses …
towards a renewable distributed generation. First in the literature, this paper addresses …
[HTML][HTML] Multi-criteria decision making for nuclear power plant selection using fuzzy AHP: Evidence from Indonesia
In terms of planning aspect, nuclear power plant (NPP) development needs analyses,
consideration, and right decision making due to multi criteria involved. This study prioritizes …
consideration, and right decision making due to multi criteria involved. This study prioritizes …
A deep learning method for short-term residential load forecasting in smart grid
Residential demand response is vital for the efficiency of power system. It has attracted
much attention from both academic and industry in recent years. Accurate short-term load …
much attention from both academic and industry in recent years. Accurate short-term load …
A hierarchical energy management system for multiple home energy hubs in neighborhood grids
This paper presents a hierarchical energy management system (HEMS) for multiple home
energy hubs in the neighborhood grid (MHEHNG). The main objectives are maximizing …
energy hubs in the neighborhood grid (MHEHNG). The main objectives are maximizing …
Promoting wind and photovoltaics renewable energy integration through demand response: Dynamic pricing mechanism design and economic analysis for smart …
Q Cai, Q Xu, J Qing, G Shi, QM Liang - Energy, 2022 - Elsevier
A power system dominated by renewable energy is one of the key measures for achieving
carbon neutrality. Demand response (DR) is a promising flexible resource for alleviating the …
carbon neutrality. Demand response (DR) is a promising flexible resource for alleviating the …
Coordinated wind-thermal-energy storage offering strategy in energy and spinning reserve markets using a multi-stage model
Renewable energy resources such as wind, either individually or integrated with other
resources, are widely considered in different power system studies, especially self …
resources, are widely considered in different power system studies, especially self …
A hybrid demand response mechanism based on real-time incentive and real-time pricing
This paper proposes a hybrid demand response (DR) mechanism considering three types of
participants: power grid operator (PGO), retailers and end users. Different from the traditional …
participants: power grid operator (PGO), retailers and end users. Different from the traditional …