Article detail · 2021 · article
Forecasting seasonal electricity generation in European countries under Covid-19-induced lockdown using fractional grey prediction models and machine learning methods
Journal
Applied Energy
ISSN0306-2619
YÖKSİS
OpenAlex
Open access · green
SJR Q1
JCR Q1
Top 10%
Year2021
Citations72OpenAlex
Percentile%98.6
FWCI9.81.00 = world average
Scopus (SJR)Q1
WoS (JCR)Q1
Data source split
- YÖKSİSYÖKSİS article record
- YÖKSİS venueAPPLIED ENERGY
- Catalog match (ISSN)Applied Energy
- OpenAlexOpenAlex enrichment (abstract, citations, topics)
Abstract
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Topics
Citations
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72citationsOpenAlex · cited_by_count (cache / database)
11 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- 2022 Forecasting share of renewables in primary energy consumption and CO2 emissions of China and the United States under Covid-19 pandemic using a novel fractional nonlinear grey modelCitations 44 · OpenAlex
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- 2023 Assessing the current and future effects of Covid-19 on energy related-CO2 emissions in the United States using seasonal fractional grey modelCitations 10 · OpenAlex
- 2025 Electricity Demand Forecasting Using Deep Polynomial Neural Networks and Gene Expression Programming During COVID-19 PandemicCitations 6 · OpenAlex
- 2025 Electricity Demand Forecasting Using Deep Polynomial Neural Networks and Gene Expression Programming During COVID-19 PandemicCitations 5 · OpenAlex
- 2024 Forecasting gasoline consumption using machine learning algorithms during COVID-19 pandemicCitations 4 · OpenAlex