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A Machine Learning Approach for Prosumer Management in Intraday Electricity Markets
Prosumer operators are dealing with extensive challenges to participate in short-term electricity markets while taking uncertainties into account.
A New Computational Approach for Solving Linear Bilevel Programs Based on Parameter-Free Disjunctive Decomposition
Linear bilevel programs (linear BLPs) have been widely used in computational mathematics and optimization in several applications.
Econometric Modeling of Intraday Electricity Market Price with Inadequate Historical Data
The intraday (ID) electricity market has received an increasing attention in the recent EU electricity-market discussions.
Convolutional Graph Auto-encoder: A Deep Generative Neural Architecture for Probabilistic Spatio-temporal Solar Irradiance Forecasting
In this paper, a deep generative model is introduced to capture continuous probability densities corresponding to the nodes of an arbitrary graph.
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