Pierre Pinson

Add links
Source: Wikipedia, the free encyclopedia.

Pierre Pinson
Energy Engineering
InstitutionsTechnical University of Denmark
ThesisEstimation of Uncertainty in Wind Power Forecasting (2006)
Doctoral advisorGeorge Kariniotakis
Websitepierrepinson.com

Pierre Pinson (born 28 March 1980) is a

optimisation and management science for energy systems, e.g., including probabilistic forecasting, participation of renewable energy generation in electricity markets, market-based coordination of energy systems, peer-to-peer energy markets, as well as data markets. He is a professor at the Technical University of Denmark[1] and has been Editor-in-Chief of the International Journal of Forecasting from 2019 onwards.[2]

Pierre Pinson grew up near

Ecole des Mines de Paris in 2006, with a doctoral dissertation, "Pinson P. Estimation of the uncertainty in wind power forecasting" (Doctoral dissertation, École Nationale Supérieure des Mines de Paris).[2]

That year, he moved to Denmark to start with the Technical University of Denmark. After a period with the Department of Applied Mathematics and Computer Sciences, he was a professor with the Department of Electrical Engineering between 2013 and 2020. Since 2021, is a Professor of Operations Research with the Department of Technology, Management and Economics at the same university.

Previously, he was a visiting researcher at the University of Oxford Mathematical Institute and the University of Washington, a scientist at the European Centre for Medium-range Weather Forecasts (ECMWF, UK), a visiting professor at Ecole Normale Supérieure (Rennes, France), as well as a Simons Fellow at the Isaac Newton Institute for Mathematical Sciences (Cambridge, UK).

Most cited publications

  • Pinson P, Chevallier C, Kariniotakis GN. Trading wind generation from short-term probabilistic forecasts of wind power. IEEE Transactions on Power Systems. 2007 Jul 30;22(3):1148-56. According to Google Scholar it has been cited 631 times.[3]
  • Wan C, Xu Z, Pinson P, Dong ZY, Wong KP. Probabilistic forecasting of wind power generation using extreme learning machine.IEEE Transactions on Power Systems'. 2013 Nov 14;29(3):1033-44. According to Google Scholar, this article has been cited 521 times[3]
  • Pinson P, Madsen H, Nielsen HA, Papaefthymiou G, Klöckl B. From probabilistic forecasts to statistical scenarios of short‐term wind power production. Wind Energy: An International Journal for Progress and Applications in Wind Power Conversion Technology. 2009 Jan;12(1):51-62. According to Google Scholar, this article has been cited 490 times[3]
  • He G, Chen Q, Kang C, Pinson P, Xia Q. Optimal bidding strategy of battery storage in power markets considering performance-based regulation and battery cycle life. IEEE Transactions on Smart Grid. 2015 May 13;7(5):2359-67. According to Google Scholar, this article has been cited 284 times[3]

References

  1. ^ "Pierre Pinson - Technical University of Denmark". Technical University of Denmark. Retrieved 15 October 2019.
  2. ^ "Editors". International Journal of Forecasting. 2 May 2015. Retrieved 15 October 2019.
  3. ^ a b c d [1] Google Scholar Author page, Accessed 19 July. 2021

External links

Retrieved from "https://en.wikipedia.org/w/index.php?title=Pierre_Pinson&oldid=1136214682"