Short-Term Load Forecasting for Microgrid Considering Weather Characteristics and Source-Load Correlation
Author:
Affiliation:
1. Shandong University of Science and Technology,College of Electrical Engineering and Automation,Qingdao,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10601630/10601669/10602472.pdf?arnumber=10602472
Reference24 articles.
1. A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting
2. Long-term power load forecasting based on data-driven linear clustering ARIMA[j];LI;Science Technology and Engineering,2020
3. Short term electricity load forecasting for institutional buildings
4. Short term power load forecasting based on a stochastic forest algorithm[j];Li;Power System Protection and Control,2020
5. Ultra-short-term Power Load Forecasting Based on Two-layer XGBoost Algorithm Considering the Influence of Multiple Features[j];SUN;High Voltage Engineering,2021
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