[HTML][HTML] Investigation into PV Inverter Topologies from the Standards Compliance Viewpoint

MA Hasan, NK Vemula, R Devarapalli, Ł Knypiński - Energies, 2024 - mdpi.com
Numerous reviews are available in the literature on PV inverter topologies. These reviews
have intensively investigated the available PV inverter topologies from their modulation …

Precise Short-Term Small-Area Sunshine Forecasting for Optimal Seedbed Scheduling in Plant Factories

L Gong, F Huang, W Zhang, Y Li, C Liu - Agriculture, 2023 - mdpi.com
Photosynthesis is one of the key issues for vertical cultivation in plant factories, and efficient
natural sunlight utilization requires predicting the light falling on each seedbed in a real-time …

Forecasting Solar Power Generation: A Comparative Analysis of Machine Learning Models

D Gottwald, M Parmar, A Zureck - … International Conference on …, 2024 - ieeexplore.ieee.org
This study aims to point out accurate machine learning (ML) prediction methods to forecast
solar energy generation. We analyze a dataset with 8,760 rows of data and 6 variables …

Optimizing Power Plant Operations Through Machine Learning Based Electricity Demand Forecasting

C De Silva, V Jayawardana… - … on Advancements in …, 2023 - ieeexplore.ieee.org
Balancing the supply and demand of power has become one of the greatest challenges with
the rapid growth of population and industrial and commercial development. This study …

Experimental Approaches for Estimating the Mass of Dust Soiling on PV Modules Using Coupons

F Aweenagua, S Isaacs, J Takyi… - … Artificial Intelligence & …, 2024 - ieeexplore.ieee.org
The global community is urgently switching to renewable energy sources like photovoltaics
(PV) to lessen climate change's increasing and impending repercussions from incessant …