Study on the Prediction of Consumer Electricity Consumption Based on Hybrid Model
Author:
Affiliation:
1. Jiangxi Electric Power,Pingxiang Power Supply Branch,Jiangxi,China
2. Jiangsu University,Electrical and Information Engineering,Jiangsu,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9712847/9712848/09713206.pdf?arnumber=9713206
Reference19 articles.
1. Short term electricity load forecasting using a hybrid model
2. Empirical Mode Decomposition based Multi-objective Deep Belief Network for short-term power load forecasting
3. Short-Term Net Load Forecasting with Singular Spectrum Analysis and LSTM Neural Networks
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1. A Hybrid Time Series Rainfall Prediction Model Using Neural Prophet and LS TM;2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS);2023-10-18
2. Short-Term Load Forecasting Based on Temporal Convolutional Network and Prophet Algorithm;2023
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