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A hybrid statistical and machine learning based forecasting framework for the energy sector

Computers & Chemical Engineering(2024)10.1016/j.compchemeng.2024.108740Source: DataRank Database

A hybrid statistical and machine learning based forecasting framework for the energy sector is a research paper published in Computers & Chemical Engineering (2024). On theSindex it has a DataRank of 0. It has been cited 13 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access13 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 10.19)OA: greenTopics (30)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (3)

Funda Iseri ORCID,Efstratios N. Pistikopoulos ORCID,Stefanos G. Baratsas ORCID

Live enrichment

PubMed:40247844 PMC:PMC12001868 OpenAlex:https://openalex.org/W4398231127

National Institutes of Health

Grant: P42ES027704

Energy Institute, Texas A and M University

Texas A and M University

FWCI

10.19

Citation Percentile

1.0%

Influential Citations

Citation Trend

2024

2025

2026

greenLicense: http://www.elsevier.com/open-access/userlicense/1.0/

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12001868/pdf/nihms-2048239.pdf

publisherhttps://api.elsevier.com/content/article/PII:S0098135424001583?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0098135424001583?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12001868

Fields of Study

Market Dynamics and VolatilityEnergy Load and Power ForecastingEnergy, Environment, Economic GrowthComputer ScienceMedicineEnvironmental ScienceEconomicsEngineering

Keywords

Artificial neural networkAutoregressive integrated moving averageEnergy (signal processing)Computer scienceOutlierEconometricsHyperparameterArtificial intelligenceDemand forecastingTime seriesSustainabilityMachine learningEconomicsOperations researchEngineeringStatisticsMathematicsStatistical methodsGrid SearchEnergy PricesForecasting FrameworkEnergy Price Index

Sustainable Development Goals

SDG 0: Affordable and clean energy