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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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16 papers · 1 filter

math.OC2022★ 2 cited

On the Efficiency of Energy Markets with Non-Merchant Storage

Linde Frölke, Eléa Prat, Pierre Pinson +2

Energy market designs with non-merchant storage have been proposed in recent years, with the aim of achieving optimal market integration of storage. In order to handle the time-lin…

math.OC2022

Robust Generation Dispatch with Purchase of Renewable Power and Load Predictions

Rui Xie, Pierre Pinson, Yin Xu +1

The increasing use of renewable energy sources (RESs) and responsive loads has made power systems more uncertain. Meanwhile, thanks to the development of advanced metering and fore…

math.OC2022★ 2 cited

Privacy-Preserving Convex Optimization: When Differential Privacy Meets Stochastic Programming

Vladimir Dvorkin, Ferdinando Fioretto, Pascal Van Hentenryck +2

Convex optimization finds many real-life applications, where--optimized on real data--optimization results may expose private data attributes (e.g., individual health records, comm…

math.OC2022★ 3 cited

Distributionally robust trading strategies for renewable energy producers

Pierre Pinson

Renewable energy generation is offered through electricity markets, quite some time in advance. This then leads to a problem of decision-making under uncertainty, which may be seen…

math.OC2022★ 46 cited

Chance-Constrained Generic Energy Storage Operations under Decision-Dependent Uncertainty

Ning Qi, Pierre Pinson, Mads R. Almassalkhi +2

Compared with large-scale physical batteries, aggregated and coordinated generic energy storage (GES) resources provide low-cost, but uncertain, flexibility for power grid operatio…

math.OC2021

Multi-Stage Linear Decision Rules for Stochastic Control of Natural Gas Networks with Linepack

Vladimir Dvorkin, Dharik Mallapragada, Audun Botterud +2

The disturbances from variable and uncertain renewable generation propagate from power systems to natural gas networks, causing gas network operators to adjust gas supply nominatio…

math.OC2020★ 2 cited

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…

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…

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…

math.OC2020

Differentially Private Optimal Power Flow for Distribution Grids

Vladimir Dvorkin, Ferdinando Fioretto, Pascal Van Hentenryck +2

Although distribution grid customers are obliged to share their consumption data with distribution system operators (DSOs), a possible leakage of this data is often disregarded in…

math.OC2020★ 46 cited

Loss Allocation in Joint Transmission and Distribution Peer-to-Peer Markets

Fabio Moret, Andrea Tosatto, Thomas Baroche +1

Large deployment of distribute energy resources and the increasing awareness of end-users towards their energy procurement are challenging current practices of electricity markets.…

math.OC2019

Differentially Private Distributed Optimal Power Flow

Vladimir Dvorkin, Pascal Van Hentenryck, Jalal Kazempour +1

Distributed algorithms enable private Optimal Power Flow (OPF) computations by avoiding the need in sharing sensitive information localized in algorithms sub-problems. However, adv…

math.OC2019★ 27 cited

Electricity Market Equilibrium under Information Asymmetry

Vladimir Dvorkin, Jalal Kazempour, Pierre Pinson

We study a competitive electricity market equilibrium with two trading stages, day-ahead and real-time. The welfare of each market agent is exposed to uncertainty (here from renewa…

math.OC2018★ 1 cited

An Integrated Market for Electricity and Natural Gas Systems with Stochastic Power Producers

Christos Ordoudis, Pierre Pinson, Juan M. Morales

In energy systems with high shares of weather-driven renewable power sources, gas-fired power plants can serve as a back-up technology to ensure security of supply and provide shor…

math.OC2017

A Consensus-ADMM Approach for Strategic Generation Investment in Electricity Markets

Vladimir Dvorkin, Jalal Kazempour, Luis Baringo +1

This paper addresses a multi-stage generation investment problem for a strategic (price-maker) power producer in electricity markets. This problem is exposed to different sources o…

math.OC2015★ 1 cited

Optimal Dynamic Capacity Allocation of HVDC Interconnections for Cross-border Exchange of Balancing Services in Presence of Uncertainty - Extended Version

Stefanos Delikaraoglou, Pierre Pinson, Robert Eriksson +1

Considering that the existing setup of the European electricity markets promotes the spatial coordination of neighbouring power systems only on the day-ahead market stage, regional…