首页|University of Parma Researcher Reports Research in Artificial Intelligence(An I ntegrated Artificial Intelligence Approach for BuildingEnergy Demand Forecastin g)
University of Parma Researcher Reports Research in Artificial Intelligence(An I ntegrated Artificial Intelligence Approach for BuildingEnergy Demand Forecastin g)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingfrom Parma, Italy, by NewsRx journalists, research stated, “Buildings are complex assets, characterized byen vironments and uses that change over time, variable occupancies, and long life c ycles.”The news reporters obtained a quote from the research from University of Parma: “They have highoperational costs, mostly due to their energy requirements, and account for 30% to 40% of global greenhousegas emis sions. Consequently, substantial effort has been made to forecast their energy n eeds, withthe scope of optimizing their economic and environmental impact. In t his regard, the available literaturefocuses mainly on short-term modeling throu gh the implementation of sets of physics-based equations (i.e.,white-box), func tional relationships between input and output variables (i.e., black-box), or a combinationof both (i.e., grey-box). On the other hand, more research is requir ed on long-term forecast models withthe aim of reducing the energy needs. Withi n this context, this article presents an original automaticprocedure for foreca sting the energy needs of buildings in short- and long-term time horizons. This isaccomplished by scaling an unknown facility from a similar facility that is a lready known and by executinga black-box approach based on machine learning alg orithms.”
University of ParmaParmaItalyEurop eArtificial IntelligenceEmerging TechnologiesHospitalsMachine Learning
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