{"id":"doi:10.1016/j.apenergy.2014.02.057","kind":"article","title":"Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracy","authors":["Rishee Kumar Jain","Kevin M. Smith","Patricia J. Culligan","John Eric Taylor"],"author_count":4,"year":2014,"published":"2014-03-19","venue":"Applied Energy","cited_by":602,"doi":"10.1016/j.apenergy.2014.02.057","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1016/j.apenergy.2014.02.057","archive_url":"https://space-kitty.com/papers/doi:10.1016/j.apenergy.2014.02.057","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W2064469609","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":false,"retracted":false,"peer_reviewed":null,"categories":["Building Energy and Comfort Optimization"],"details":null,"provenance":"openalex","attribution":"Metadata and citation counts: OpenAlex (CC0).","topics":[{"slug":"ai-weather-climate","name":"AI Weather & Climate Modeling","domain_slug":"energy"}],"cited_in_dossiers":[]}