Certain investigation and performance analysis of mppt controller using machine learning algorithms for floating photovoltaic cover system for water reservoirs

Abstract

Energy is a fundamental need for sustaining life in all regions of the Earth. India, being a growing nation, is seeing a significant increase in its energy demands and a notable change in its energy consumption patterns. In order to achieve consistent advancement, it is imperative that the energy sector experiences expansion. Energy-related activities are pervasive, hence exerting a comprehensive influence on ecosystems across many geographical locations. It is expected that resource depletion would occur at a faster rate due to the current framework of energy production, distribution, and consumption, which will result in increased environmental deterioration and major development barriers. Emerging nations encounter significant and widespread energy-related obstacles. Lack of access to reliable electricity is a problem for a large portion of the population (often over 90%) in many developing countries. In the absence of dependable and superior electrical power, individuals are compelled to adapt and manage their daily lives. In rural settings, major cooking fuels often include animal dung, agricultural waste, fuel wood, and charcoal. Insufficient availability of reliable and environmentally sustainable energy sources poses challenges for individuals in enhancing their quality of life and engaging in productive endeavours. Among the dependable energy resources, solar power plays a vital role. A particularly floating solar system is much more effective. Flexible floating solar panels are used for the purpose of power production in last few years. The inclusion of water around the system may lead to a reduction in temperature, hence potentially conferring benefits. There may be potential newline