Preprints
https://doi.org/10.5194/essd-2026-76
https://doi.org/10.5194/essd-2026-76
26 Feb 2026
 | 26 Feb 2026
Status: this preprint is currently under review for the journal ESSD.

Open-access energy demand data for South and Southeast Asia

Oliver G. Coombes, Kieran M. R. Hunt, and Hannah C. Bloomfield

Abstract. Open-access electricity demand data are essential for meteorology–energy and climate–energy research, forecasting, and resilience planning. Yet in South and Southeast Asia (SASEA), such records are fragmented across sources, reported in inconsistent formats, and often difficult to find or access. This is a serious limitation in a region where electricity use and system stress are sensitive to monsoon variability, humid and dry heat, and other natural hazards.

In this paper, we present and describe a harmonised electricity demand dataset for twelve SASEA countries (Bangladesh, Bhutan, India, Malaysia, Myanmar, Nepal, Oman, Philippines, Singapore, Sri Lanka, Taiwan, and Thailand) at daily national resolution, spanning 2013–2025 with country-dependent coverage. We compiled raw data from national utilities, regulators, and international providers using reproducible retrieval workflows (e.g., APIs and automated scraping of PDFs/XLS/web portals). All records were standardised to megawatt-hours (MWh), and aligned to local-calendar daily totals (i.e., midnight-to-midnight in local standard time).

To support and encourage transparent downstream use, we also provide the raw extracted series, alongside harmonised daily aggregates, metadata, and our processing and scraping scripts. We also publish diagnostics quantifying completeness, gaps, and outliers flagged using a range of statistical methods. Independent validation against Ember monthly electricity demand shows strong agreement in temporal variability for most countries.

Our open dataset will enable regional and cross-country analysis of demand seasonality, growth and variability; evaluation of weather–demand sensitivity using reanalysis or forecasts; and event-based studies of disruption and recovery during extremes. We finish with a short case study application of our dataset and discussion on how it should and should not be used.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Oliver G. Coombes, Kieran M. R. Hunt, and Hannah C. Bloomfield

Status: open (until 04 Apr 2026)

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Oliver G. Coombes, Kieran M. R. Hunt, and Hannah C. Bloomfield

Data sets

SASEA Electricity Demand Data for 2013-2025 Oliver Coombes, Kieran Hunt, Hannah Bloomfield https://doi.org/10.5281/zenodo.17175212

Model code and software

South and Southeast Asia (SASEA) Electricity Demand Data for 2013–2025 Oliver Coombes https://github.com/C4ntasaur/sasea-demand

Oliver G. Coombes, Kieran M. R. Hunt, and Hannah C. Bloomfield
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Latest update: 26 Feb 2026
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Short summary
We assembled and openly shared daily electricity use records for twelve countries in South and Southeast Asia from 2013 to 2025. Data were gathered from official reports and agency websites, converted to a common format and time zone, and checked for missing days and extreme values. Our published dataset largely matches an independent monthly source. The dataset will support future studies of demand growth, weather effects, and electricity system planning and resilience.
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