Modern machine learning (ML) techniques are making inroads in every aspect of renewable energy for optimization and model prediction. The effective utilization of ML techniques for …
Z Chen, A Ghosh, NSA Lopez - Heliyon, 2023 - cell.com
The UK is planning to ban the sale of fuel vehicles entirely by 2035 and electric vehicles will be a potential alternative to fuel vehicles. The increase in electric vehicles will increase the …
Recently, hybrid wind/PV microgrids have gained great attention all over the world. It has the merits of being environmentally friendly, reliable, sustainable, and efficient compared to its …
Charging the electric vehicles through the use of solar PV systems is a major hurdle in today's era. In the present work, a system is designed for charging Electric bikes at …
There is a need for increased penetration of renewable energy resources (RES) in the energy mix of South Africa that is currently bedevilled by recurring load shedding thus …
Electric vehicle (EV) charging facilities are essential to their development and deployment. These days, autonomous microgrids that use renewable energy resources to energize …
Due to the increasing presence of electric vehicles (EVs) in urban electricity distribution networks, distribution network operators face the challenge of energy management. A smart …
S Natarajan, AK Loganathan - Iranian Journal of Science and Technology …, 2022 - Springer
Grid-connected renewable energy systems have advanced significantly in India recently. The most important renewable energy sources are solar and wind. The scheduling of power …
MW Rahman, K Velmurugan… - 2021 International …, 2021 - ieeexplore.ieee.org
The consumption rate of fossil fuels increases promptly with the rapid deterioration of mineral resources. The associated pollution problem has led the researcher's attention to …