20 citations · 68 across the 14 of their papers we have counts for
14 papers
Predict+Optimize Problem in Renewable Energy Scheduling
Christoph Bergmeir, Frits de Nijs, Evgenii Genov +25
Predict+Optimize frameworks integrate forecasting and optimization to address real-world challenges such as renewable energy scheduling, where variability and uncertainty are criti…
Bi-objective Search with Bi-directional A*
Saman Ahmadi, Guido Tack, Daniel Harabor +1
Bi-objective search is a well-known algorithmic problem, concerned with finding a set of optimal solutions in a two-dimensional domain. This problem has a wide variety of applicati…
Versatile and Robust Transient Stability Assessment via Instance Transfer Learning
Seyedali Meghdadi, Guido Tack, Ariel Liebman +2
To support N-1 pre-fault transient stability assessment, this paper introduces a new data collection method in a data-driven algorithm incorporating the knowledge of power system d…
Supporting the Problem-Solving Loop: Designing Highly Interactive Optimisation Systems
Jie Liu, Tim Dwyer, Guido Tack +2
Efficient optimisation algorithms have become important tools for finding high-quality solutions to hard, real-world problems such as production scheduling, timetabling, or vehicle…
Data-Driven Security Assessment of the Electric Power System
Seyedali Meghdadi, Guido Tack, Ariel Liebman
The transition to a new low emission energy future results in a changing mix of generation and load types due to significant growth in renewable energy penetration and reduction in…
Interaction Between Coordinated and Droop Control PV Inverters
Peter Lusis, Lachlan L. H. Andrew, Ariel Liebman +1
Autonomous droop control PV inverters have improved voltage regulation compared to the inverters without grid support functions, but more flexible control techniques will be requir…