no code implementations • 21 Feb 2024 • Aleksei Kychkin, Georgios C. Chasparis
The flexibility in electricity consumption and production in communities of residential buildings, including those with renewable energy sources and energy storage (a. k. a., prosumers), can effectively be utilized through the advancement of short-term demand response mechanisms.
1 code implementation • 28 Oct 2023 • Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher
Deep reinforcement learning has been the pioneer for solving this problem without the need for relying on the physical model of complex systems by just interacting with it.
Ranked #1 on Decision Making on NASA C-MAPSS
1 code implementation • 15 Oct 2023 • Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher
Deep reinforcement learning has the potential to address these problems by learning optimal control policies through exploration in an environment.
no code implementations • 27 Jul 2017 • Georgios C. Chasparis, Michael Rossbory, Verena Haunschmid
We introduce an evolutionary stochastic-local-search (SLS) algorithm for addressing a generalized version of the so-called 1/V/D/R cutting-stock problem.