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Performance analysis of short-term electricity demand with meteorological parameters

https://doi.org/10.1109/ecticon.2017.8096240

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.apenergy.2012.03.053openalex-snapshot

Relationships between meteorological variables and monthly electricity demand

inferredcites →https://doi.org/10.1016/j.csda.2009.06.002openalex-snapshot

Forecasting electricity demand in Japan: A Bayesian spatial autoregressive ARMA approach

inferredcites →https://doi.org/10.1016/j.csda.2011.04.002openalex-snapshot

Dynamic factors in periodic time-varying regressions with an application to hourly electricity load modelling

inferredcites →https://doi.org/10.1016/j.egypro.2015.07.616openalex-snapshot

Short-term Forecasting of the Abu Dhabi Electricity Load Using Multiple Weather Variables

inferredcites →https://doi.org/10.1016/j.ejor.2015.12.030openalex-snapshot

Forecasting day-ahead electricity load using a multiple equation time series approach

inferredcites →https://doi.org/10.1051/matecconf/20165506003openalex-snapshot

Short-term Electricity Load Forecasting Model and Bayesian Estimation for Thailand Data

inferredcites →https://doi.org/10.1057/palgrave.jors.2601589openalex-snapshot

Short-term electricity demand forecasting using double seasonal exponential smoothing

inferredcites →https://doi.org/10.1198/016214503000000774openalex-snapshot

Bayesian Modeling and Forecasting of Intraday Electricity Load

inferredcites →https://doi.org/10.4236/epe.2013.51007openalex-snapshot

Factors Affecting Electricity Demand in Jordan

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Multivariate Time Series Prediction for Co2 Concentration and Flue Gas Flowrate from Biomass-Fired Power Plant

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Multivariate time series prediction for CO2 concentration and flowrate of flue gas from biomass-fired power plants

inferred← citeshttps://doi.org/10.1109/ecticon.2018.8619930openalex-snapshot

Short-term Electricity Load Forecasting for Thailand

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Deep Learning-based Power Load Shedding Approach for Gaza's Electricity Grid

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Inductive Transfer and Deep Neural Network Learning-Based Cross-Model Method for Short-Term Load Forecasting in Smarts Grids

inferred← citeshttps://doi.org/10.1109/ictmim65579.2025.10988033openalex-snapshot

Temperature Effect on Short-Term Electricity Demand Forecasting

inferred← citeshttps://doi.org/10.1109/ieecon.2018.8712189openalex-snapshot

Short-Term Electricity Demand Forecasting with Seasonal and Interactions of Variables for Thailand

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Short-Term Electricity Demand Forecasting Using Deep Neural Networks: An Analysis for Thai Data

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Short-Term Electricity Demand Forecasting: Impact Analysis of Temperature for Thailand

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Forecasting Short-Term Electricity Load Using Validated Ensemble Learning

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OVERALL ASSESSMENT OF THE INNOVATIVE PREPARATION "GLAUXIN" ON THE PRODUCT QUALITY AND NUTRITIONAL VALUE OF HYDROPONICALLY GROWN OAKLEAF LETTUCE PLANTS UPON FOLIAR TREATMENT

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SEDIMENTATION STAGES OF THE FORMATION OF THE CASPIAN SEDIMENTARY BASIN IN THE LATE PALEOZOIC

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IMPACT OF THE MUSCULOSKELETAL DISORDERS IN PATIENTS WITH CORONARY ARTERY DISEASE ON THE OUTCOME OF CORONARY BYPASS GRAFT SURGERY

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SURGICAL TREATMENT OPTIONS OF ADVANCED KIDNEY CANCER

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