activity
20202026
most citedEnhanced spatio-temporal electric load forecasts using less data with active deep learning

18 citations · 18 across the 4 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

eess.SY2023

Modelling and Optimization Based Control for Demand Response in Active Distribution Networks

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 deviatio…

cs.LG2023

Unified machine learning tasks and datasets for enhancing renewable energy

Arsam Aryandoust, Thomas Rigoni, Francesco di Stefano +1

Multi-tasking machine learning (ML) models exhibit prediction abilities in domains with little to no training data available (few-shot and zero-shot learning). Over-parameterized M…