In many countries, hydropower provides a dominant share of the electricity supply. This dependence brings environmental ...
In hydro-dependent power systems, water availability varies due to droughts and climate variability, increasing the risk of ...
Our approach introduces the first general Learning-to-Optimize (L2O) framework designed for Mixed-Integer Nonlinear Programming (MINLP). As illustrated above, the approach consists of two core ...
Abstract: In this paper, demand response problems are discussed based on mixed integer nonlinear programming. The considered demand response problems are defined as multi objective nonlinear ...
Abstract: The digital twin (DT) assisted mobile edge computing (MEC), which adopts DT to bridge cyber and physical systems by generating digital replicas of real entities, is proposed as an effective ...
We consider the optimal scheduling of hydropower plants in a hydrothermal interconnected system. This problem, of outmost importance for large-scale power systems with a high proportion of hydraulic ...
A new technical paper, “Quantifying the Global Impact of Constraint Programming Based Local Scheduling in Semiconductor Manufacturing,” was published by Infineon and the University of Klagenfurt.
A single MXene-based optical gate switches between seven Boolean logic functions via voltage, enabling trainable photonic ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results