Fuzzy Based MPPT and Solar Power Forecasting Using Artificial Intelligence

Solar energy is the radiant heat and light harvested by ultra violet rays to convert into electrical Direct Current (DC). The solar stood ahead of other renewable as it can produce a constant level alternating current over year with minimal harmonic distortions. attracts harvesters there rise deficiency carbon reduction efficiency in thermal generation. concerns associated power generation are fluctuation generated direct due displacement sun deviation quantity from place place. This apprehension overcome following technical methods employing latest technology determining optimal position harvest at high rate forecasting effectively. paper proposes novel hybrid methodology fuzzy based controller determine Maximum Power Point Tracking (MPPT) Artificial Intelligence (AI) perform precision K-Nearest Neighbor algorithm least assumption employed predicting Photovoltaic cells. considers vital parameters direction sun, temperature, clearness index humidity air. performance analysis proposed compared IEEE standard bus prediction proved be more maximum 0.06%.