244 citations · 2k across the 53 of their papers we have counts for
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cs.LG2026
Electricity Price Forecasting: Bridging Linear Models, Neural Networks and Online Learning
Btissame El Mahtout, Florian Ziel
Precise day-ahead forecasts for electricity prices are crucial to ensure efficient portfolio management, support strategic decision-making for power plant operations, and enable ef…
cs.LG2022★ 14 cited
High-Resolution Peak Demand Estimation Using Generalized Additive Models and Deep Neural Networks
Jonathan Berrisch, Michał Narajewski, Florian Ziel
This paper covers predicting high-resolution electricity peak demand features given lower-resolution data. This is a relevant setup as it answers whether limited higher-resolution…
cs.LG2021★ 21 cited
Smoothed Bernstein Online Aggregation for Day-Ahead Electricity Demand Forecasting
Florian Ziel
We present a winning method of the IEEE DataPort Competition on Day-Ahead Electricity Demand Forecasting: Post-COVID Paradigm. The day-ahead load forecasting approach is based on o…