Distribution System Operators (DSOs) and Aggregators benefit from novel energy
forecasting (EF) approaches. Improved forecasting accuracy may make it easier to deal with …

Path planning is one of the most important steps in the navigation and control of Unmanned
Aerial Vehicles (UAVs). It ensures an optimal and collision-free path between two locations …

Congestion problems might occur in distribution networks as the penetration of distributed
energy resources (DERs) progresses. This study focuses on the complementarity of multiple …

Recognized as an efficient approach to reduce fossil fuel consumption and alleviate
environment crisis, the adoption of electric vehicles (EVs) in urban transportation system is …

Weakly supervised semantic instance segmentation with only image-level supervision,
instead of relying on expensive pixel-wise masks or bounding box annotations, is an …

Mobile edge computing is emerging as a novel ubiquitous computing platform to overcome
the limit resources of mobile devices and bandwidth bottleneck of the core network in mobile …

Cutting planes (cuts) are important for solving mixed-integer linear programs (MILPs), which
formulate a wide range of important real-world applications. Cut selection--which aims to …

Optimization software provides better design and development of optimization solutions for
real-life problems. The software generates different solutions under different constraints. An …

We introduce the Suggest-and-Improve framework for general nonconvex quadratically
constrained quadratic programs (QCQPs). Using this framework, we generalize a number of …

In this paper, the aggregation of electric vehicles (EVs) and fast charging station (FCS) is
modeled as a leader-followers game to provide regulation reserves for power systems. The …