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Artificial intelligence-based methods for renewable power system operation
Carbon neutrality goals are driving the increased use of renewable energy (RE). Large-
scale use of RE requires accurate energy generation forecasts; optimized power dispatch …
scale use of RE requires accurate energy generation forecasts; optimized power dispatch …
End-to-end learning of user equilibrium with implicit neural networks
This paper intends to transform the transportation network equilibrium modeling paradigm
via an “end-to-end” framework that directly learns travel choice preferences and the …
via an “end-to-end” framework that directly learns travel choice preferences and the …
A Bayesian approach to breaking things: efficiently predicting and repairing failure modes via sampling
E2E-AT: A unified framework for tackling uncertainty in task-aware end-to-end learning
Successful machine learning involves a complete pipeline of data, model, and downstream
applications. Instead of treating them separately, there has been a prominent increase of …
applications. Instead of treating them separately, there has been a prominent increase of …
An efficient learning-based solver for two-stage dc optimal power flow with feasibility guarantees
In this paper, we consider the scenario-based two-stage stochastic DC optimal power flow
(OPF) problem for optimal and reliable dispatch when the load is facing uncertainty …
(OPF) problem for optimal and reliable dispatch when the load is facing uncertainty …
QPLayer: efficient differentiation of convex quadratic optimization
Optimization layers within neural network architectures have become increasingly popular
for their ability to solve a wide range of machine learning tasks and to model domain-specific …
for their ability to solve a wide range of machine learning tasks and to model domain-specific …
Deep-learning-aided voltage-stability-enhancing stochastic distribution network reconfiguration
W Huang, C Zhao - IEEE Transactions on Power Systems, 2023 - ieeexplore.ieee.org
Power distribution networks are approaching their voltage stability boundaries due to the
severe voltage violations and the inadequate reactive power reserves caused by the …
severe voltage violations and the inadequate reactive power reserves caused by the …