首页|New Machine Learning Findings from University of Washington Described [From Tweets To Energy Trends (Twen): an Exploratory Framework for Machine Learni ng-based Forecasting of Urban-scale Energy Behavior Leveraging Social Media Data ]
New Machine Learning Findings from University of Washington Described [From Tweets To Energy Trends (Twen): an Exploratory Framework for Machine Learni ng-based Forecasting of Urban-scale Energy Behavior Leveraging Social Media Data ]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating from Seattle, W ashington, by NewsRx correspondents, research stated, “Understandingenergy beha vior is crucial in addressing climate change, yet the accuracy of energy predict ions is oftenlimited by reliance on oversimplified occupancy data. This study d evelops an exploratory framework,from Tweets to Energy Trends (TwEn), leveragin g machine learning and geo-tagged social media data toinvestigate the social dy namics of urban energy behavior.”
SeattleWashingtonUnited StatesNort h and Central AmericaCyborgsEmerging TechnologiesMachine LearningUnivers ity of Washington
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