Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Remote work might unlock solar PV's potential of cracking the 'Duck Curve'
KB Debnath, DP Jenkins, S Patidar, AD Peacock - Applied Energy, 2024 - Elsevier
Integrating renewable energy technologies into a decentralised smart grid presents the
'Duck Curve'challenge—the disparity between peak demand and solar photovoltaic (PV) …
'Duck Curve'challenge—the disparity between peak demand and solar photovoltaic (PV) …
Distributed flexible resource regulation strategy for residential communities based on deep reinforcement learning
In an era characterized by the rapid proliferation of distributed flexible resources (DFRs), the
development of customized energy management and regulation strategies has attracted …
development of customized energy management and regulation strategies has attracted …
Deep reinforcement learning based hierarchical energy management for virtual power plant with aggregated multiple heterogeneous microgrids
Y Li, W Chang, Q Yang - Applied Energy, 2025 - Elsevier
The operational uncertainties for different forms of renewable energy sources (RES) and
their high penetration in microgrids (MG) impose challenges to their flexible operation. This …
their high penetration in microgrids (MG) impose challenges to their flexible operation. This …
[HTML][HTML] Energy assistants for prosumers to enable trading strategies on local electricity markets
Home assistants gained more attention as they provide guidance and can also be active in
energy communities and assist prosumers by controlling appliances. Graphical interface …
energy communities and assist prosumers by controlling appliances. Graphical interface …
Peak Shaving and Duck Curve Mitigation With BES Based Ramp Rate Limit Strategy for Power Quality Enhancement of SPV-BES Microgrid
S Chakraborty, G Modi, B Singh… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Variability of power generated by renewable energy sources and load power fluctuations
reflect as grid power ramps. These power ramps monitored at point of common coupling …
reflect as grid power ramps. These power ramps monitored at point of common coupling …
Optimizing Joint Bidding and Incentivizing Strategy for Price-Maker Load Aggregators Based on Multi-Task Multi-Agent Deep Reinforcement Learning
J Lu, Z **e, H Xu, J Liu - IEEE Access, 2024 - ieeexplore.ieee.org
The increasing penetration of renewable energy sources poses significant challenges for
modern power systems, particularly in supply-demand balance and peak regulation. Load …
modern power systems, particularly in supply-demand balance and peak regulation. Load …
Behavior-aware assessment of demand response participation in power systems using causal artificial intelligence
M He, M Khorsand - Electric Power Systems Research, 2024 - Elsevier
Demand response (DR) is pivotal in enhancing the operational efficiency and reliability of
power systems. Understanding prosumers' behavior and their participation in DR programs …
power systems. Understanding prosumers' behavior and their participation in DR programs …
Zonotope and reinforcement learning-based aggregator operation of energy community resources with water pump
T Xu, T Chen, NP da Silva, Y Fu… - 2023 IEEE 7th …, 2023 - ieeexplore.ieee.org
Flexible distributed resources within the energy community at the distribution network side
have considerable potential for grid-interaction. However, the aggregation and centralized …
have considerable potential for grid-interaction. However, the aggregation and centralized …
Efficient Operation and Disaggregation Method for Distributed Resources with Risk Consideration and Zonotope Modeling
T Xu, X Yang, T Chen - 2024 IEEE 7th Student Conference on …, 2024 - ieeexplore.ieee.org
The popularity of distributed resources (DRs) on the distribution network (DN) side provides
great potential for interaction with the power grid. However, the volume of resources is not …
great potential for interaction with the power grid. However, the volume of resources is not …
Flexibility-based Incentive Program and Aggregator Operation Strategy for Distributed Resources in Energy Community Infrastructure
X Yang, T Xu, T Chen - 2024 IEEE 2nd International …, 2024 - ieeexplore.ieee.org
As increasing number of renewable energy is integrated into the grid, the problem of
uncertainty and insufficient flexibility of the power system becomes more and more …
uncertainty and insufficient flexibility of the power system becomes more and more …