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S. Haben, Jonathan Ward, D. Greetham, Colin Singleton, P. Grindrod (2014)
A new error measure for forecasts of household-level, high resolution electrical energy consumptionInternational Journal of Forecasting, 30
Carola Gerwig (2017)
Short Term Load Forecasting for Residential Buildings - An Extensive Literature Review
Dana Ghanem, S. Mander, C. Gough (2016)
“I think we need to get a better generator”: Household resilience to disruption to power supply during storm eventsEnergy Policy, 92
Hesham Alfares, M. Nazeeruddin (2002)
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Photovoltaics and wind status in the European Union after the Paris AgreementRenewable & Sustainable Energy Reviews, 81
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S. Haben, Georgios Giasemidis, F. Ziel, Siddharth Arora (2019)
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On hourly home peak load prediction2012 IEEE Third International Conference on Smart Grid Communications (SmartGridComm)
[Electricity demand or load forecasts inform both industrial and governmental decision making processes, from energy trading and electricity pricing to demand response and infrastructure maintenance. Electric load forecasts allowDistribution system operators Distribution System Operators (DSOs) and policy makers to prepare for the short and long term future. For informed decisions to be made, particularly within industries that are highly regulated such as electricity trading, the factors influencing electricity demand need to be understood well. This is only becoming more urgent, as low carbon technologies (LCT) become more prevalent and consumers start to generate electricity for themselves, trade with peers and interact with DSOs.]
Published: Sep 26, 2019
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