Solar Power

In the arid expanses of northwestern Mexico, where the sun blazes relentlessly, solar energy holds immense promise. Yet, the region’s unique climate, particularly the winter cold fronts that sweep through, poses challenges for accurate solar irradian

In a significant advancement for renewable energy, researchers at the School of Energy and Materials, Shanghai Polytechnic University, have unveiled a state-of-the-art model for a hybrid photovoltaic (PV) and lithium-ion (Li-ion) battery system. This

In an innovative leap for renewable energy, a recent study led by Ubong Ukommi from the Department of Electrical and Electronic Engineering at Akwa Ibom State University, Nigeria, has unveiled the design and performance analysis of a 500KVA pumped wa

In a groundbreaking study published in the ‘ABUAD Journal of Engineering Research and Development,’ researchers have illuminated the critical relationship between roof inclination and solar energy output. Conducted by Muyideen Olalekan Lawal from the

In a groundbreaking study, researchers at Kazan State Power Engineering University have harnessed the power of machine learning to tackle one of the most pressing challenges in renewable energy: accurately predicting electricity generation from solar

In a significant advancement for the solar energy sector, researchers from the Belarusian State University of Informatics and Radioelectronics have developed a groundbreaking methodology for identifying defective solar panels using telemetry data. Th

As the world increasingly turns to renewable energy sources, the efficiency and reliability of solar power plants have become paramount. A recent study led by S. V. Valevich from the Belarusian State University of Informatics and Radioelectronics has

In a significant advancement for the energy sector, researchers have introduced a novel two-stage stochastic energy and reserve market clearing model that takes into account the strategic offerings of renewable energy sources. This research, led by Z

In a significant stride towards harnessing solar energy in Northern Cameroon, researchers have employed advanced LSTM (Long Short-Term Memory) neural networks to predict solar irradiation and temperature, key factors in optimizing photovoltaic energy

In a significant advancement for the renewable energy sector, researchers have developed a new forecasting method for day-ahead solar power generation that could transform how utilities manage electricity in the face of increasing photovoltaic (PV) a