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Energy Demand Forecasting: Difference between revisions
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==Background Readings==
*'''Core Concepts and Methods in Load Forecasting.''' <ref>{{Cite book|url=https://link.springer.com/book/10.1007/978-3-031-27852-5|title=Core Concepts and Methods in Load Forecasting|last=Haben|first=Stephen|last2=Voss|first2=Marcus|last3=Holderbaum|first3=William|publisher=Springer|year=2023|isbn=978-3-031-27851-8}}</ref>: A comprehensive book that covers methods from both statistics and machine learning for load forecasting, with a focus on low-voltage distribution grids.
*'''"Energy forecasting: A review and outlook" (2020)'''. <ref>{{Cite journal|last=Tao|first=Hong|last2=Pinson|first2=Pierre|last3=Wang|first3=Yi|last4=Weron|first4=Rafal|last5=Yang|first5=Dazhi|last6=Zareipour|first6=Hamidreza|date=2020|title=Energy forecasting: A review and outlook|url=https://ieeexplore.ieee.org/document/9218967|journal=IEEE Open Access Journal of Power and Energy}}</ref>: A high level review and overview of the energy forecasting field and challenges.
*'''"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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*'''International Journal of Forecasting''': The official journal of the [https://forecasters.org/ International Institute of Forecasters]. Journal website [https://www.journals.elsevier.com/international-journal-of-forecasting here].
*'''Foresight''': Another journal published by the [https://forecasters.org/ International Institute of Forecasters] with a more applied focus. Journal website [https://forecasters.org/foresight/ here].
==Libraries and Tools==
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*See the [[Electricity Systems]] page for general electricity systems datasets.
===Distribution System===
* '''List of Low-voltage level load data sets:''' Curated list of smart meter data from the household and building level as well as substation data in the distribution system, available [https://low-voltage-loadforecasting.github.io/ here].
==Future Directions==
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== Relevant Groups and Organizations ==
* '''International Institute of Forecasters''': An organization for researchers, practitioners, and students, publishing the [https://www.journals.elsevier.com/international-journal-of-forecasting International Journal of Forecasting] and organizing the [https://isf.forecasters.org/ International Symposium on Forecasting (ISF)]. Homepage [https://forecasters.org/ here].
* '''IEEE Working Group on Energy Forecasting and Analytics:''' A working group for energy forecasting that has organized for instance [http://www.drhongtao.com/gefcom GEFCOM challenges], homepage [http://www.eeyiwang.com/WGEFA.html here].
== References ==
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