Forecasting Solar Home System Customers’ Electricity Usage with a 3D Convolutional Neural Network to Improve Energy Access
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- Opoku, Richard & Obeng, George Y. & Adjei, Eunice A. & Davis, Francis & Akuffo, Fred O., 2020. "Integrated system efficiency in reducing redundancy and promoting residential renewable energy in countries without net-metering: A case study of a SHS in Ghana," Renewable Energy, Elsevier, vol. 155(C), pages 65-78.
- Narayan, Nishant & Chamseddine, Ali & Vega-Garita, Victor & Qin, Zian & Popovic-Gerber, Jelena & Bauer, Pavol & Zeman, Miroslav, 2019. "Exploring the boundaries of Solar Home Systems (SHS) for off-grid electrification: Optimal SHS sizing for the multi-tier framework for household electricity access," Applied Energy, Elsevier, vol. 240(C), pages 907-917.
- Gustavsson, Mathias, 2007. "With time comes increased loads—An analysis of solar home system use in Lundazi, Zambia," Renewable Energy, Elsevier, vol. 32(5), pages 796-813.
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Keywords
convolutional neural network; CNN; load forecasting; solar home system; SHS; energy access;All these keywords.
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