Advanced ML-Based Ensemble and Deep Learning Models for Short-Term Load Forecasting: Comparative Analysis Using Feature Engineering

Advanced ML-Based Ensemble and Deep Learning Models for Short-Term Load Forecasting: Comparative Analysis Using Feature Engineering

Short-term load forecasting (STLF) plays a pivotal role in the electricity industry because it helps reduce, generate, and operate costs by balancing supply and demand. Recently, the challenge in STLF has been the load variation that occurs in each period, day, and seasonality. This work proposes th...

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Bibliographic Details
Main Authors: Pyae-Pyae Phyo, Chawalit Jeenanunta
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Applied Sciences
Subjects:
accuracy
bagging ensemble
deep learning
machine learning
short-term load forecasting
Online Access:https://www.mdpi.com/2076-3417/12/10/4882

Internet

https://www.mdpi.com/2076-3417/12/10/4882

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