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Wenwei Wang

2 accepted papers

2023

eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms

AAAI 2023technical

Electricity forecasting is crucial in scheduling and planning of future electric load, so as to improve the reliability and safeness of the power grid. Despite recent developments of forecasting algorithms in the machine learning community, there is a lack of general and advanced algorithms specific…

Cited by 5SourcePDFScholar
2020

A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling

NeurIPS 2020poster

The Empirical Revenue Maximization (ERM) is one of the most important price learning algorithms in auction design: as the literature shows it can learn approximately optimal reserve prices for revenue-maximizing auctioneers in both repeated auctions and uniform-price auctions. However, in these app…

Cited by 5SourcePDFScholar