1 citations · 2 across the 5 of their papers we have counts for
5 papers
Inference of Unknown Dynamical Components Using Next Generation Reservoir Computing: From Chaotic Systems to Climate Data
Jule Budnick, Andrew Keane, Serhiy Yanchuk
We investigate next generation reservoir computing (NGRC) as a data-driven approach for inferring unseen components of dynamical systems. We compare NGRC with traditional reservoir…
Confabulation dynamics in a reservoir computer: Filling in the gaps with untrained attractors
Jack O'Hagan, Andrew Keane, Andrew Flynn
Artificial Intelligence has advanced significantly in recent years thanks to innovations in the design and training of artificial neural networks (ANNs). Despite these advancements…
Modelling hydrogen integration in energy system models: Best practices for policy insights
Muhammad Maladoh Bah, Sheng Wang, Mohsen Kia +2
The rapid emergence of hydrogen in long-term energy strategies requires a broad understanding on how hydrogen is currently modelled in national energy system models. This study pro…
Linear energy storage and flexibility model with ramp rate, ramping, deadline and capacity constraints
Md Umar Hashmi, Dirk Van Hertem, Aleen van der Meer +1
The power networks are evolving with increased active components such as energy storage and flexibility derived from loads such as electric vehicles, heat pumps, industrial process…
Impact of Phase Selection on Accuracy and Scalability in Calculating Distributed Energy Resources Hosting Capacity
Tomislav Antic, Andrew Keane, Tomislav Capuder
Hosting capacity (HC) and dynamic operating envelopes (DOEs), defined as dynamic, time-varying HC, are calculated using three-phase optimal power flow (OPF) formulations. Due to th…