Efficient deep generative model for short-term household load forecasting using non-intrusive load monitoring

Antoine Langevin; Mohamed Cheriet; Ghyslain Gagnon

doi:10.1016/j.segan.2023.101006

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Efficient deep generative model for short-term household load forecasting using non-intrusive load monitoring

Antoine Langevin Mohamed Cheriet Ghyslain Gagnon

Year: 2023 Journal: Sustainable Energy Grids and Networks Vol: 34 Pages: 101006-101006 Publisher: Elsevier BV

DOI: 10.1016/j.segan.2023.101006

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Keywords:

Computer science Leverage (statistics) Key (lock) Demand response Term (time) Generative model Load profile Artificial intelligence Machine learning Reliability engineering Data mining Generative grammar Engineering Electricity Computer security

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Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Smart Grid Energy Management

Physical Sciences → Engineering → Electrical and Electronic Engineering

Building Energy and Comfort Optimization

Physical Sciences → Engineering → Building and Construction

Efficient deep generative model for short-term household load forecasting using non-intrusive load monitoring

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