activity
20132026
most citedWind Energy: Forecasting Challenges for Its Operational Management

377 citations · 724 across the 41 of their papers we have counts for

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10 papers · 1 filter

stat.AP2023

A simulation framework of procurement operations in the container logistics industry

George Vassos, Klaus K. Holst, Pierre Pinson +1

This study proposes a simulation framework of procurement operations in the container logistics industry that can support the development of dynamic procurement strategies. The ide…

stat.AP2022★ 18 cited

Wind energy forecasting with missing values within a fully conditional specification framework

Honglin Wen, Pierre Pinson, Jie Gu +1

Wind power forecasting is essential to power system operation and electricity markets. As abundant data became available thanks to the deployment of measurement infrastructures and…

stat.AP2021★ 1 cited

Trading Data for Wind Power Forecasting: A Regression Market with Lasso Regularization

Liyang Han, Pierre Pinson, Jalal Kazempour

This paper proposes a regression market for wind agents to monetize data traded among themselves for wind power forecasting. Existing literature on data markets often treats data d…

stat.AP2021

Regression markets and application to energy forecasting

Pierre Pinson, Liyang Han, Jalal Kazempour

Energy forecasting has attracted enormous attention over the last few decades, with novel proposals related to the use of heterogeneous data sources, probabilistic forecasting, onl…

stat.AP2020

Adaptive Generalized Logit-Normal Distributions for Wind Power Short-Term Forecasting

Amandine Pierrot, Pierre Pinson

There is increasing interest in very short-term and higher-resolution wind power forecasting (from minutes to hours ahead), especially offshore. Statistical methods are of utmost r…

stat.AP2020★ 27 cited

Forecasting: theory and practice

Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos +77

Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organ…

stat.AP2018★ 30 cited

Polyhedral Predictive Regions For Power System Applications

Faranak Golestaneh, Pierre Pinson, Hoay Beng Gooi

Despite substantial improvement in the development of forecasting approaches, conditional and dynamic uncertainty estimates ought to be accommodated in decision-making in power sys…

stat.AP2017

Ellipsoidal Prediction Regions for Multivariate Uncertainty Characterization

Faranak Golestaneh, Pierre Pinson, Rasoul Azizipanah-Abarghooee +1

While substantial advances are observed in probabilistic forecasting for power system operation and electricity market applications, most approaches are still developed in a univar…

stat.AP2016

Generation and Evaluation of Space-Time Trajectories of Photovoltaic Power

Faranak Golestaneh, Pierre Pinson, Hoay Beng Gooi

In the probabilistic energy forecasting literature, emphasis is mainly placed on deriving marginal predictive densities for which each random variable is dealt with individually. S…

stat.AP2015★ 40 cited

Generation of scenarios from calibrated ensemble forecasts with a dual ensemble copula coupling approach

Zied Ben Bouallegue, Tobias Heppelmann, Susanne E. Theis +1

Probabilistic forecasts in the form of ensemble of scenarios are required for complex decision making processes. Ensemble forecasting systems provide such products but the spatio-t…