首页|Studies from FEMTO-ST Institute in the Area of Machine Learning Published (Machi ne Learning Algorithms for Solar Irradiance Prediction:A Recent Comparative Stu dy)
Studies from FEMTO-ST Institute in the Area of Machine Learning Published (Machi ne Learning Algorithms for Solar Irradiance Prediction:A Recent Comparative Stu dy)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators publish new report on artificial in telligence.According to news reporting from the FEMTO-ST Institute by NewsRx jo urnalists,research stated,"Photovoltaic panels have emerged as a promising tec hnology to generate renewable energy and reduce the dependence on fossil fuels b y harnessing solar radiation and converting it into electricity." The news journalists obtained a quote from the research from FEMTO-ST Institute:"The efficiency of this conversion process relies on various factors,including solar panel quality and region-specific intake of solar radiation.Therefore,a ccurate solar irradiance forecasting is crucial for making informed decisions ab out designing and managing efficient solar power systems.One way to address thi s issue is through leveraging artificial intelligence algorithms that can predic t precise amounts of irradiance in specific locations.To this end,this paper e xplores solar irradiance forecasting as a machine-learning problem.We utilize d ata from Izmir,Turkey,over a period spanning three years while testing several deep learning algorithms against traditional machine learning models,with resu lts detailed within our comparative analysis."
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