A modified deep residual network for short-term load forecasting

A modified deep residual network for short-term load forecasting

The electrical load has a prominent position and a very important role in the day-to-day operations of the entire power system. Due to this, many researchers proposed various models for forecasting load. However, these models are having issues with over-fitting and the capability of generalization....

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Bibliografiske detaljer
Main Authors:	V. Y. Kondaiah, B. Saravanan
Format:	Article
Sprog:	English
Udgivet:	Frontiers Media S.A. 2022-10-01
Serier:	Frontiers in Energy Research
Fag:	load forecasting smart/ micro-grid feature selection ANN artificial neural networks short term load forecasting
Online adgang:	https://www.frontiersin.org/articles/10.3389/fenrg.2022.1038819/full

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