Day-ahead Multiple Households Load Forecasting using Deep Learning and Unsupervised Clustering
Author:
Affiliation:
1. University of Zagreb,Faculty of Electrical Engineering and Computing,Zagreb,Croatia
Funder
European Regional Development Fund
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9803295/9803050/09803401.pdf?arnumber=9803401
Reference40 articles.
1. Hybrid CNN-LSTM Model for Short-Term Individual Household Load Forecasting
2. Photovoltaic power forecasting based LSTM-Convolutional Network
3. Forecasting Hourly Solar Irradiance Using Long Short-Term Memory (LSTM) Network
4. Review of Deep Learning Application for Short-Term Household Load Forecasting
5. Multi-objective LSTM ensemble model for household short-term load forecasting
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