首页|Reports from Rio de Janeiro State University Describe Recent Advancesin Computa tional Intelligence (Electricity Energy DemandPrediction Using Computational In telligence Techniques)
Reports from Rio de Janeiro State University Describe Recent Advancesin Computa tional Intelligence (Electricity Energy DemandPrediction Using Computational In telligence Techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on computational intellig ence is the subject of a new report. Accordingto news reporting out of Rio de J aneiro State University by NewsRx editors, research stated, “Energy isan import ant pillar for the economic development of a country.”The news reporters obtained a quote from the research from Rio de Janeiro State University: “Thedemand for electricity is something that continues to grow, one of the contributing factors is the emergenceof various technological equipment and the consequent use by the population. There are several resourcesthat can be exploited to generate electricity, with hydroelectric power stations being on e of the most usedresources. As electrical energy cannot be stored, there is a need to estimate its consumption, looking fora way to meet this energy demand. In this context, this study seeks to apply machine learning techniques,using th e Grey Wolf Optimization (GWO) meta-heuristic to optimize regression models, to predict thedemand for electricity in Brazil, and it aims to estimate how much e nergy should be produced. For thepredictions, the period between the years 2017 to 2022 was used, totaling around 2,190 samples. Themethodology involves pre-p rocessing, crossvalidation, parameters optimization and regression.”
Rio de Janeiro State UniversityComputa tional IntelligenceEmerging TechnologiesMachine Learning
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