首页|Study Findings on Artificial Intelligence Discussed by a Researcher at Sankalcha nd Patel University (Resolving Charging Station Placement Issues for Electric Ve hicles: Hybrid Optimization-Assisted Multi-Objective Framework)
Study Findings on Artificial Intelligence Discussed by a Researcher at Sankalcha nd Patel University (Resolving Charging Station Placement Issues for Electric Ve hicles: Hybrid Optimization-Assisted Multi-Objective Framework)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on artificial intelligence have bee n presented. According to news reporting out of Gujarat, India, by NewsRx editor s, research stated, “As new energy technology has advanced to a respectable leve l, Electric Vehicles (EV) have gained recognition from people all over the world and have become increasingly popular in a number of nations.” Our news journalists obtained a quote from the research from Sankalchand Patel U niversity: “Effective charging station placement is critical for the rapid growt h of electric vehicles, as it is vital to provide convenience for electric vehic les while also ensuring the effectiveness of traffic networks. The location of a n EV charging station is simply an application situation for the facility locati on problem. Traditional works often pay attention to the mileage concerns of ele ctric vehicle customers while ignoring their competitive and strategic charging tactics. This research aims to frame the allocation of charging stations issue a s a multi-faceted venture by assessing the aspects economically along with the c haracteristics of the power grid like “cost, Voltage stability, Reliability, and Power loss (VRP) index, waiting time, and accessibility index”. Further, we pro posed a hybrid artificial intelligence to resolve the allocation issue. The prop osed new Artificial Intelligence (AI) based algorithm is termed as Hybridized Sa lp and Harris Algorithm (HS-HA).”
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