Electrical demand aggregation effects on the performance of deep learning-based short-term load forecasting of a residential building

Electrical demand aggregation effects on the performance of deep learning-based short-term load forecasting of a residential building

Modern power grids face the challenge of increasing renewable energy penetration that is stochastic in nature and calls for accurate demand predictions to provide the optimized power supply. Hence, increasing the self-consumption of renewable energy through demand response in households, local commu...

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Bibliographic Details
Main Authors: Ayas Shaqour, Tetsushi Ono, Aya Hagishima, Hooman Farzaneh
Format: Article
Language:English
Published: Elsevier 2022-05-01
Series:Energy and AI
Subjects:
Bidirectional gated recurrent units
Convolutional neural network
Deep Neural Networks
Recurrent neural network
Residential load aggregation
Short-term load forecasting
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546822000052

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http://www.sciencedirect.com/science/article/pii/S2666546822000052

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