11 citations · 20 across the 5 of their papers we have counts for
5 papers
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…
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…
Estimation of the Shapley Value of a Peer-to-Peer Energy Sharing Game using Coalitional Stratified Random Sampling
Liyang Han, Thomas Morstyn, Malcolm McCulloch
Various peer-to-peer energy markets have emerged in recent years in an attempt to manage distributed energy resources in a more efficient way. One of the main challenges these mode…
Improving the Scalability of a Prosumer Cooperative Game with K-Means Clustering
Liyang Han, Thomas Morstyn, Constance Crozier +1
Among the various market structures under peer-to-peer energy sharing, one model based on cooperative game theory provides clear incentives for prosumers to collaboratively schedul…