111 citations · 114 across the 8 of their papers we have counts for
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cs.LG2026
Adaptive Multi-task Learning for Probabilistic Load Forecasting
Onintze Zaballa, Verónica Álvarez, Santiago Mazuelas
Simultaneous load forecasting across multiple entities (e.g., regions, buildings) is crucial for the efficient, reliable, and cost-effective operation of power systems. Accurate lo…
cs.LG2020★ 111 cited
Probabilistic Load Forecasting Based on Adaptive Online Learning
Verónica Álvarez, Santiago Mazuelas, José A. Lozano
Load forecasting is crucial for multiple energy management tasks such as scheduling generation capacity, planning supply and demand, and minimizing energy trade costs. Such relevan…