Residential Load Forecasting Based on CNN-LSTM and Non-uniform Quantization
Author:
Affiliation:
1. School of Automation and Electronic Information, Xiangtan University,Xiangtan,China
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10072014/10072300/10072605.pdf?arnumber=10072605
Reference17 articles.
1. Electrical load-temperature CNN for residential load forecasting
2. Learning Approach for Energy Consumption Forecasting in Residential Microgrid
3. Residential probabilistic load forecasting: A method using Gaussian process designed for electric load data
4. Predicting residential energy consumption using CNN-LSTM neural networks
5. A hybrid model for building energy consumption forecasting using long short term memory networks
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