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The aim is to analyze how climate influences electricity demand in contrasting residential settings and improve predictive modeling.

July 29, 2026Energy InformaticsOpen Access

Climate-informed residential electricity demand modelling: a comparative study of inland and coastal dwellings

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Comparative study analyzes electricity demand in inland and coastal dwellings, suggesting improved modeling with climate-aware features.

The aim is to analyze how climate influences electricity demand in contrasting residential settings and improve predictive modeling.
Analyzed synchronized hourly data from smart meters and weather measurements in Bangalore and Mangalore.
Employed multivariate and forecasting analyses to assess climate-demand relationships.
Evaluated predictive performance of climate-aware engineered features compared to raw weather inputs.
Inland dwelling showed weak climate-demand coupling, while coastal dwelling was sensitive to solar variables and humidity.
Baseline models indicated limited variance explained for the inland dwelling due to non-climatic drivers.
Lagged and interaction climatic features enhanced predictive performance in benchmark models.

Parameshwari et al. (2026) studied this question.

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