Short-Term Electricity Load Forecasting Based on Ensemble Empirical Mode Decomposition and Long Short-Term Memory Neural Network
Author:
Affiliation:
1. School of Electrical and Control Engineering, shenyang jianzhu university,China
2. School of Resources and Civil Engineering, Northeastern University,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445602/10445603/10445625.pdf?arnumber=10445625
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1. A short-term power load forecasting model based on the generalized regression neural network with decreasing step fruit fly optimization algorithm
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3. A review and analysis of regression and machine learning models on commercial building electricity load forecasting
4. ARIMA-based decoupled time series forecasting of electric vehicle charging demand for stochastic power system operation
5. Adaptive short-term load forecasting of hourly load using weather information;Gupta;IEEE Trans. Power Syst.,2007
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