Electricity Price Forecasting using Sale and Purchase Curves: The X-Model
Florian Ziel, Rick Steinert

TL;DR
This paper introduces the X-Model, a novel approach for electricity price forecasting that leverages sale and purchase curves from market auctions, integrating market structure insights with econometric analysis to improve prediction accuracy.
Contribution
The paper presents the first model combining market structure data with econometric techniques to forecast electricity prices using sale and purchase curves.
Findings
Model captures non-linear price behavior and spikes.
Effective dimension reduction and estimation techniques.
Provides probabilistic forecasts with prediction intervals.
Abstract
Our paper aims to model and forecast the electricity price by taking a completely new perspective on the data. It will be the first approach which is able to combine the insights of market structure models with extensive and modern econometric analysis. Instead of directly modeling the electricity price as it is usually done in time series or data mining approaches, we model and utilize its true source: the sale and purchase curves of the electricity exchange. We will refer to this new model as X-Model, as almost every deregulated electricity price is simply the result of the intersection of the electricity supply and demand curve at a certain auction. Therefore we show an approach to deal with a tremendous amount of auction data, using a subtle data processing technique as well as dimension reduction and lasso based estimation methods. We incorporate not only several known features,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsElectric Power System Optimization · Energy Load and Power Forecasting · Energy Efficiency and Management
