377 citations · 724 across the 41 of their papers we have counts for
47 papers
From Intraday Orderbook to Imbalance Price: Understanding Cross-Market Interaction
Runyao Yu, Jochen L. Cremer, Pierre Pinson +4
Power systems with increasing variable renewable generation face greater uncertainty in scheduling and balancing. Intraday and balancing electricity markets facilitate position adj…
On tracking varying bounds when forecasting bounded time series
Amandine Pierrot, Pierre Pinson
We consider a new framework where a continuous, though bounded, random variable has unobserved bounds that vary over time. In the context of univariate time series, we look at the…
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…
On the contribution of pre-trained models to accuracy and utility in modeling distributed energy resources
Hussain Kazmi, Pierre Pinson
Despite their growing popularity, data-driven models of real-world dynamical systems require lots of data. However, due to sensing limitations as well as privacy concerns, this dat…
What may future electricity markets look like?
Pierre Pinson
Should the organization, design and functioning of electricity markets be taken for granted? Definitely not. While decades of evolution of electricity markets in countries that com…
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…
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…
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…
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…
Online Decision Making for Trading Wind Energy
Miguel Angel Muñoz, Pierre Pinson, Jalal Kazempour
We propose and develop a new algorithm for trading wind energy in electricity markets, within an online learning and optimization framework. In particular, we combine a component-w…
Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach
Honglin Wen, Pierre Pinson, Jinghuan Ma +2
We present a data-driven approach for probabilistic wind power forecasting based on conditional normalizing flow (CNF). In contrast with the existing, this approach is distribution…
Strategic Coalition for Data Pricing in IoT Data Markets
Shashi Raj Pandey, Pierre Pinson, Petar Popovski
This paper considers a market for trading Internet of Things (IoT) data that is used to train machine learning models. The data, either raw or processed, is supplied to the market…
An adversarially robust data-market for spatial, crowd-sourced data
Aida Manzano Kharman, Christian Jursitzky, Quan Zhou +4
We describe an architecture for a decentralised data market for applications in which agents are incentivised to collaborate to crowd-source their data. The architecture is designe…
A Market for Trading Forecasts: A Wagering Mechanism
Aitazaz Ali Raja, Pierre Pinson, Jalal Kazempour +1
In many areas of industry and society, e.g., energy, healthcare, logistics, agents collect vast amounts of data that they deem proprietary. These data owners extract predictive inf…
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…
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…
Reliability-Aware Probabilistic Reserve Procurement
Lars Herre, Pierre Pinson, Spyros Chatzivasileiadis
Current reserve procurement approaches ignore the stochastic nature of reserve asset availability itself and thus limit the type and volume of reserve offers. This paper develops a…
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…
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…
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…
North Sea Energy Islands: Impact on National Markets and Grids
Andrea Tosatto, Xavier Martínez Beseler, Jacob Østergaard +2
Taking concrete steps towards a carbon-free society, the Danish Parliament has recently made an agreement on the establishment of the world's first two offshore energy hubs, one on…
Moving from Linear to Conic Markets for Electricity
Anubhav Ratha, Pierre Pinson, Hélène Le Cadre +2
We propose a new forward electricity market framework that admits heterogeneous market participants with second-order cone strategy sets, who accurately express the nonlinearities…
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…
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…