Predicting the Energy Meter Demand by a Window-based Gradient Boosting Regression Tree Model
Author:
Affiliation:
1. State Grid Fujian Marketing Service Center,Fuzhou,China
2. Fujian Power Supply Service Co., Ltd,Fuzhou,China
3. Xiamen University,School of Mathematical Sciences,Xiamen,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10365710/10365749/10366035.pdf?arnumber=10366035
Reference11 articles.
1. Study of a demand prediction model of smart meter based on service feature;Peng;Electrical Measurement & Instrumentation,2019
2. Research on distribution optimization based on requirement forecast of electric energy meter;Liu,2017
3. Stock Price Prediction Using the ARIMA Model
4. E-commerce sales demand forecasting and inventory optimization;Lin,2020
5. Multivariate electricity load Short-term Forecasting based on LSTM;Chen;Modern Information Technology,2022
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