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Energy Demand Forecasting: Difference between revisions
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*'''"Electrical load forecasting models: A critical systematic review" (2017)'''<ref>{{Cite journal|last=Kuster|first=Corentin|last2=Rezgui|first2=Yacine|last3=Mourshed|first3=Monjur|date=2017-11|title=Electrical load forecasting models: A critical systematic review|url=http://dx.doi.org/10.1016/j.scs.2017.08.009|journal=Sustainable Cities and Society|volume=35|pages=257–270|doi=10.1016/j.scs.2017.08.009|issn=2210-6707}}</ref>: A review and taxonomy of electricity load forecasting models.
*'''"Probabilistic electric load forecasting: A tutorial review" (2016)'''<ref>{{Cite journal|last=Hong|first=Tao|last2=Fan|first2=Shu|date=2016-07|title=Probabilistic electric load forecasting: A tutorial review|url=http://dx.doi.org/10.1016/j.ijforecast.2015.11.011|journal=International Journal of Forecasting|volume=32|issue=3|pages=914–938|doi=10.1016/j.ijforecast.2015.11.011|issn=0169-2070}}</ref>: A tutorial and review of methods of probabilistic electricity load forecasting.
*'''"Review of Low-Voltage Load Forecasting: Methods, Applications, and Recommendations" (2021)'''<ref>{{Cite journal|last=Haben|first=Stephen|last2=Arora|first2=Siddharth|last3=Giasemidis|first3=Georgios|last4=Voss|first4=Marcus|last5=Greetham|first5=Danica Vukadinovic|year=2021|title=Review of Low-Voltage Load Forecasting: Methods, Applications, and Recommendations|url=https://arxiv.org/abs/2106.00006|journal=Applied Energy|doi=10.1016/j.apenergy.2021.117798|issn=0306-2619|volume=304|pages=117798}}</ref>: A review of load forecasting with focus of distribution grids containing a chapter on machine learning approaches applied in the field. It further addresses problems in the field like a lack of benchmarks and dataset bias.
==Conferences, Journals, and Professional Organizations==
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