Results 231 to 240 of about 23,095 (305)
Most countries, including Japan, are focused on achieving net‐zero greenhouse gas (GHG) emissions by 2050, which requires quick action. Despite the increasing level of renewable power generation in power grids, fossil fuel power plants still have a significant role in producing GHG emissions, causing serious environmental issues.
Kadyrbek Kozhobekov +4 more
wiley +1 more source
Attention-Enhanced CNN-LSTM with Spatial Downscaling for Day-Ahead Photovoltaic Power Forecasting. [PDF]
Peng F, Tang X, Xiao M.
europepmc +1 more source
Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey
ABSTRACT Bio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, constrained and mixed‐integer characteristics.
Tianyu Hu +4 more
wiley +1 more source
Accurate forecasting of photovoltaic optimal points and efficiency using advanced hybrid machine learning models. [PDF]
Kumar A +8 more
europepmc +1 more source
ABSTRACT With the advancement of smart grid and Internet of Things, alongside broad adoption of distributed energy resources, precise profiling of residential users has become vital to grid operational efficiency and load forecasting accuracy. However, existing profiling approaches mainly rely on single‐source load data and fail to capture the dynamic ...
Danlin Li +6 more
wiley +1 more source
Study on the influencing factors of photovoltaic siting in coal mining subsidence areas-taking Shanxi Province as an example. [PDF]
Lu Y, Yan Y, Wang M, Zhou L.
europepmc +1 more source
ABSTRACT In recent years, extreme cold disasters have occurred frequently worldwide. The security of rural distribution network is threatened. The current research on enhancing the resilience of distribution network fails to consider the changes in the operating characteristics and efficiency of equipment under extreme cold disasters.
Zhigang Zhang +5 more
wiley +1 more source
Optimal control strategy for electric vehicle powered by PV arrays and battery using sliding mode control and linear quadratic regulator. [PDF]
Gul BT +5 more
europepmc +1 more source
ABSTRACT Smart energy management systems (EMS) are entering a phase of rapid transformation. Artificial intelligence (AI)—including machine learning (ML), deep learning (DL), and reinforcement learning (RL)—has become the computational backbone for real‐time forecasting, scheduling, and control of renewable‐rich power systems.
Sihai An +5 more
wiley +1 more source

