Multi-Timeframe Forecasting Using Deep Learning Models for Solar Energy Efficiency in Smart Agriculture

Since the advent of smart agriculture, technological advancements in solar energy have significantly improved farming practices, resulting in a substantial revival of different crop yields. However, the smart agriculture industry is currently facing challenges posed by climate change. This involves...

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Bibliographic Details

Published in:	Energies
Main Authors:	Saravanakumar Venkatesan, Yongyun Cho
Format:	Article
Language:	English
Published:	MDPI AG 2024-08-01
Subjects:	greenhouse solar energy short-mid and long-term forecasting time series deep learning models
Online Access:	https://www.mdpi.com/1996-1073/17/17/4322