Comparative Analysis of Machine Learning Algorithms Using Weather Station Grid Shor-Term Load Forecasting
Author:
Affiliation:
1. Ural Power Engineering Institute, Ural Federal University named after the first President of Russia B.N. Yeltsin,Ekaterinburg,Russia
2. Novosibirsk State Technical University,Power Supply System Department,Novosibirsk,Russia
Funder
Russian Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10296113/10296212/10296417.pdf?arnumber=10296417
Reference15 articles.
1. Short-Term Load Forecasting Based on an Adaptive Hybrid Method
2. Sampling Strategy Analysis of Machine Learning Models for Energy Consumption Prediction
3. Averaged Errors as a Risk Factor for Intelligent Forecasting Systems Operation in the Power Industry
4. Forecasting Electricity Consumption in a National Power System
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