no code implementations • 12 Nov 2023 • Arsam Aryandoust, Thomas Rigoni, Francesco Di Stefano, Anthony Patt
A collection of unified ML tasks and datasets from this domain can largely facilitate the development and empirical testing of such models, but is currently missing.
no code implementations • 6 Nov 2023 • Arsam Aryandoust
We explore how Demand Response (DR) can effectively provide electricity system services such as for the management of bi-directional power flows and the control of voltage deviations in active distribution networks, without compromising consumer comfort or adversely affecting grid operation in the transmission network.
1 code implementation • 8 Dec 2020 • Arsam Aryandoust, Anthony Patt, Stefan Pfenninger
We show how electric utilities can apply active learning to better distribute smart meters and collect their data for more accurate predictions of load with about half the data compared to when applying passive learning.