Developing an open-source and Europe-wide wind power forecasting platform
Electric Power Systems Research
Principal at inCommodities and Professor at Imperial College London, Dyson School of Design Engineering
I work on probabilistic forecasting, forecast verification and electricity markets, combining statistics and operations research to get the most value out of data.
Move across the chart to forecast from another moment.
Led the team, at Halfspace, that pitched the case of how forecasting, optimisation and dynamic pricing radically changed daily operations at Molslinjen.
Read the story →From early work on wind power to methods for wind, solar, wave, load and market quantities, and how to verify them.
Explore the work →“Can we predict the future of forecasting?”, the yearly public lecture at the Technical University of Denmark.
Watch the lecture →Trading strategies for renewables, and market design and clearing under uncertainty, from coordinated to peer-to-peer markets.
Explore the work →Mechanisms to value, share and trade data, forecasts and models.
Explore the work →How electricity markets should evolve for a power system built on renewables and flexible, active consumers, from my paper “What may future electricity markets look like?”.
Explore the ideas →P. Alexander, P. Pinson, O. Banovic, S. Bouchkati, A. Ulbig
Electric Power Systems Research
W. Liu, J. Zhao, Z. Lin, Z.Y. Dong, P. Pinson
Engineering
C. Wan, X. Mu, Z. He, H. Liu, P. Pinson, P. Ju, Q. Xu
Zenodo (CERN European Organization for Nuclear Research)
J.M.R.d. Vargas, F. Raisch, Z. Nagy, P. Pinson, C. Goebel
Preprint · PDF
F. Pavirani, B. Claessens, P. Pinson, C. Develder
Energy and AI 26, art. no. 100920 · PDF
Ten modules of video lectures and slides, from market fundamentals to advanced renewable energy forecasting, with exercises and interviews.
| Date | Title |
|---|---|
| Oct 2026 | Joining inCommodities as Principal |
| Apr 2024 | Molslinjen and Halfspace win the INFORMS Edelman Award |