摘要
由一名新闻记者兼机器人与机器学习每日新闻的工作人员新闻编辑-关于人工智能的详细数据已经呈现。根据NewsRx编辑s在印度古吉拉特邦的新闻报道，研究表明，"随着新能源技术发展到令人尊敬的水平，电动汽车(EV)获得了世界各地人民的认可，并在一些国家变得越来越受欢迎。"我们的新闻记者从Sankalchand Patel U Niversity的研究中获得了一句话：“有效的充电站布置对于电动汽车的快速增长至关重要，”电动汽车充电站的选址仅仅是设施选址问题的一个应用场合,传统的研究往往只关注电动汽车用户的里程问题,而忽略了电动汽车用户的竞争策略和策略,本文旨在构建电动汽车充电站的选址模型。通过对电网的“成本、电压稳定性、可靠性和损耗(VRP)指数、等待时间和可达性指数”等方面进行经济评估，提出了一种混合人工智能来解决分配问题，所提出的基于人工智能(AI)的新算法被称为混合Sa LP和Harris算法(HS-HA)。
Abstract
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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