A Hybrid Prophet–XGBoost Residual Approach for Hourly Electricity Demand Forecasting in South Korea
Solo Bening Nuansa Nanditya; Arsyanda Nabila Hasna Arisa; Kevin Surya Prayoga Wibowo; Yumna Alvitasari; Yudho Yudhanto; Dedy Dwi Prastyo; Winita Sulandari
- Published
- Publisher
- IEEE
- Journal / collection
- 2026 International Conference on Smart Data, Intelligence, and Analytics (ICoSDIA)
- Research area
- Energy & infrastructure
- Source type
- Conference paper
- DOI
- 10.1109/icosdia70683.2026.11690452
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Cite this source
Solo Bening Nuansa Nanditya; Arsyanda Nabila Hasna Arisa; Kevin Surya Prayoga Wibowo; Yumna Alvitasari; Yudho Yudhanto; Dedy Dwi Prastyo; Winita Sulandari. A Hybrid Prophet–XGBoost Residual Approach for Hourly Electricity Demand Forecasting in South Korea. 2026 International Conference on Smart Data, Intelligence, and Analytics (ICoSDIA). 2026-08. https://doi.org/10.1109/icosdia70683.2026.11690452