首页|Research on Artificial Intelligence Published by Researchers at Department of El ectrical Engineering (An Explicit Investigation in Demand Side Management Based on Artificial Intelligence Techniques)
Research on Artificial Intelligence Published by Researchers at Department of El ectrical Engineering (An Explicit Investigation in Demand Side Management Based on Artificial Intelligence Techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in artific ial intelligence. According to news reportingoriginating from Jharkhand, India, by NewsRx correspondents, research stated, “The several artificiallyintelligen t techniques used in demand-side management (DSM) are exhaustively reviewed in t his article.”The news editors obtained a quote from the research from Department of Electrica l Engineering: “Theobjective of the demand-side management is to connect and di sconnect the available generating unitswith the variable loads with the objecti ve of meeting peak load and base load demand. The meeting ofload demand with th e adjustment in available generating units is accompanied by demand-side management. It is observed that ANN is utilized for short-term load and pricing forecas ting, and other natureencouragedoptimization techniques like swarm intelligenc e, game theory, deep learning methods, etc.may be used as speculation methods b ecause these optimization techniques are less precise. Demand-sidemanagement in volves highly complicated losses in all existing methodologies that have been co ntrolledand reduced by artificial intelligence and machine learning. Smart pric ing for customers results fromincreasing the economic efficiency of consumption by promoting energy load demand during off-peak hoursand discouraging energy l oad demand during peak hours. Less fuel consumption also helps to reducecarbon emissions from these power generation projects, which helps power suppliers save on additional fuelcosts due to severe and unpredictable margin variations in p ower generation.”
Department of Electrical EngineeringJh arkhandIndiaAsiaArtificial IntelligenceCyborgsEmerging TechnologiesM achine Learning
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