Recently there has been a surge of interest in operations research (OR) and the machine
learning (ML) community in combining prediction algorithms and optimization techniques to …

Generally, day-ahead unit commitment (UC) is conducted in a predict-then-optimize
process: it starts by predicting the renewable energy source (RES) availability and system …

With rapidly growing penetration of renewable energy, there is an increasing need for real-
time balance in the power system. In recent years, as a vital component of the end user side …

Distribution network scheduling (DNS) is the basis for distribution network management,
which is computed in a periodical way via solving the formulated mixed-integer …

The cross-regional and large-scale transmission of new energy power is an inevitable
requirement to address the counter-distributed characteristics of wind and solar resources …

Regulating the proper carbon-aware intervention policy is one of the keys to emission
alleviation in the distribution network, whose basis lies in effectively attributing the emission …

Data-driven optimization often involves the prediction of uncertain parameters drawn from
unknown probability distributions for a subsequent optimization task. Recent literature has …

With the continuous increasing penetration of renewable energy sources, the fluctuation and
instability of the power system have become more prominent. Because of the advantages of …