Time series forecasting still awaits a transformative breakthrough like that happened in
computer vision and natural language processing. The absence of extensive, domain …

Solar energy is a widely accessible, clean, and sustainable energy source. Solar power
harvesting in order to generate electricity on smart grids is essential in light of the present …

Autonomous grid-forming (GFM) inverter testbeds with scalable platforms have attracted
interest recently. In this study, a self-synchronized universal droop controller (SUDC) was …

This review emphasizes the critical need for accurate integration of solar energy into power
grids. It meticulously examines the advancements in transformer models for solar …

For efficient operation, solar power operators often require generation forecasts for multiple
sites with varying data availability. Many proposed methods for forecasting solar …

Time series forecasting still awaits a transformative breakthrough like that happened in
computer vision and natural language processing. The absence of extensive, domain …

The intermittency of solar energy, due to occlusion from cloud cover, is one of the key factors
inhibiting its widespread use in commercial, residential, and utility-scale settings. Hence …

Irradiance forecasting is of great significance for the management and optimization of
photovoltaic power generation. Collaborative forecasting based on multiple stations can …

Photovoltaic (PV) systems are indispensable in the renewable energy industry as they
convert sunlight into electricity. Accurate determination of important factors such as …