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20152023
most citedContinuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach

49 citations · 94 across the 20 of their papers we have counts for

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Showing 2020Show all

10 papers · 1 filter

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…

math.OC2020

Monetizing Customer Load Data for an Energy Retailer: A Cooperative Game Approach

Liyang Han, Jalal Kazempour, Pierre Pinson

When energy customers schedule loads ahead of time, this information, if acquired by their energy retailer, can improve the retailer's load forecasts. Better forecasts lead to whol…

stat.AP2020

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…

math.OC2020

Stochastic Control and Pricing for Natural Gas Networks

Vladimir Dvorkin, Anubhav Ratha, Pierre Pinson +1

We propose stochastic control policies to cope with uncertain and variable gas extractions in natural gas networks. Given historical gas extraction data, these policies are optimiz…

cs.CR2020★ 4 cited

Differentially Private Convex Optimization with Feasibility Guarantees

Vladimir Dvorkin, Ferdinando Fioretto, Pascal Van Hentenryck +2

This paper develops a novel differentially private framework to solve convex optimization problems with sensitive optimization data and complex physical or operational constraints.…

math.OC2020

Chance-Constrained Equilibrium in Electricity Markets With Asymmetric Forecasts

Vladimir Dvorkin, Jalal Kazempour, Pierre Pinson

We develop a stochastic equilibrium model for an electricity market with asymmetric renewable energy forecasts. In our setting, market participants optimize their profits using pub…