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المؤلفون: Ramit Debnath, Ronita Bardhan, Ashwin Misra, Tianzhen Hong, Vida Rozite, Michael H. Ramage
المساهمون: Debnath, Ramit [0000-0003-0727-5683], Bardhan, Ronita [0000-0001-5336-4084], Ramage, Michael [0000-0003-2967-7683], Apollo - University of Cambridge Repository
المصدر: Energy Policy. 164:112886
مصطلحات موضوعية: Gaussian Mixture Models, More than 3-bedroom unit, Multidimensional Scaling, India, RM1, CDD, Cooling Degree Day, Management, Monitoring, Policy and Law, Expectation–Maximisation algorithm, 2-bedroom unit, NEEM, National Energy End-use Monitoring, MDS, Multidimensional Scaling, National Energy End-use Monitoring, AI, Artificial Intelligence, 1-bedroomunit, BR2, 2-bedroom unit, Artificial Intelligence, WFH, GMM, Gaussian Mixture Models, Machine learning, MDS, EM, Expectation–Maximisation algorithm, RM1, 1-room unit, Non-intrusive Load Monitoring, GMM, BR1, BR2, BR3, NEEM, Energy, COVID-19, M3BR, 1-room unit, Work-from-home, HDD, Heating Degree Day, General Energy, NILM, AI, EM, 3-bedroom unit, Cooling Degree Day, Heating Degree Day, HDD, BR3, 3-bedroom unit, M3BR, More than 3-bedroom unit, Mixture models, WFH, Work-from-Home, BR1, 1-bedroomunit, NILM, Non-intrusive Load Monitoring, CDD
وصف الملف: application/pdf