Noman Bashir, Dong Chen, David E. Irwin, P. Shenoy
{"title":"Solar-TK: A Solar Modeling and Forecasting Toolkit","authors":"Noman Bashir, Dong Chen, David E. Irwin, P. Shenoy","doi":"10.1145/3360322.3361006","DOIUrl":null,"url":null,"abstract":"There has been significant prior work on solar performance modeling and forecasting that infers a site's current and future solar generation based on different factors including a site's location, time, weather, and physical attributes. Unfortunately, much of the prior work is not accessible to researchers, either because it has not been implemented and released as open-source, is too complex and time-consuming to re-implement, or requires access to proprietary data sources. To address the problem, we present Solar-TK, a data-driven toolkit for solar performance modeling and forecasting that is simple, extensible, and publicly accessible. Solar-TK's simple approach models and forecasts a site's solar output given only its location and a small amount of historical generation data. We plan to publicly release Solar-TK as open-source to enable research that requires realistic solar models and forecasts, and to serve as a baseline for comparing new solar modeling and forecasting techniques.","PeriodicalId":128826,"journal":{"name":"Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3360322.3361006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
There has been significant prior work on solar performance modeling and forecasting that infers a site's current and future solar generation based on different factors including a site's location, time, weather, and physical attributes. Unfortunately, much of the prior work is not accessible to researchers, either because it has not been implemented and released as open-source, is too complex and time-consuming to re-implement, or requires access to proprietary data sources. To address the problem, we present Solar-TK, a data-driven toolkit for solar performance modeling and forecasting that is simple, extensible, and publicly accessible. Solar-TK's simple approach models and forecasts a site's solar output given only its location and a small amount of historical generation data. We plan to publicly release Solar-TK as open-source to enable research that requires realistic solar models and forecasts, and to serve as a baseline for comparing new solar modeling and forecasting techniques.