Correction: Venkatesan, S.; Cho, Y. Multi-Timeframe Forecasting Using Deep Learning Models for Solar Energy Efficiency in Smart Agriculture. Energies 2024, 17, 4322

Authors

Institutions

Publication Details

Journal
Energies
Published
2024-10-16
DOI
https://doi.org/10.3390/en17205136
Citations
2
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
0.42

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Correction: Venkatesan, S.; Cho, Y. Multi-Timeframe Forecasting Using Deep Learning Models for Solar Energy Efficiency in Smart Agriculture. Energies 2024, 17, 4322

Yongyun Cho, Saravanakumar Venkatesan
2 citations
Energies
Energy Load and Power Forecasting
0.42
article

Correction: Venkatesan, S.; Cho, Y. Multi-Timeframe Forecasting Using Deep Learning Models for Solar Energy Efficiency in Smart Agriculture. Energies 2024, 17, 4322

Yongyun Cho, Saravanakumar Venkatesan
article en
2 citations

Abstract

No abstract available for this paper.
EnergiesVol. 17(20)
Sunchon National University (KR)
Iran Telecommunication Research Center, Ministry of Science and ICT, South Korea, Institute for Information and Communications Technology Promotion, Division of Human Resource Development
Affordable and clean energy
Openalex Percentile: Top 37%
Energy Load and Power Forecasting
0.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.