no code implementations • 19 Oct 2023 • Rui Yuan, S. Ali Pourmousavi, Wen L. Soong, Andrew J. Black, Jon A. R. Liisberg, Julian Lemos-Vinasco
As a result, there is a need for a new distance measure that can quantify both the amplitude and temporal changes of electricity time series for smart grid applications, e. g., demand response and load profiling.
1 code implementation • 3 Oct 2023 • Nam Trong Dinh, Sahand Karimi-Arpanahi, S. Ali Pourmousavi, Mingyu Guo, Julian Lemos-Vinasco, Jon A. R. Liisberg
In this paper, we compare the most common existing sizing methods in the literature with a battery sizing model that incorporates the practical operation of a battery, that is, receding horizon operation.
no code implementations • 16 Sep 2023 • Nam Trong Dinh, Sahand Karimi-Arpanahi, Rui Yuan, S. Ali Pourmousavi, Mingyu Guo, Jon A. R. Liisberg, Julian Lemos-Vinasco
Demand response (DR) plays a critical role in ensuring efficient electricity consumption and optimal use of network assets.
no code implementations • 27 Sep 2021 • Peder Bacher, Hjörleifur G. Bergsteinsson, Linde Frölke, Mikkel L. Sørensen, Julian Lemos-Vinasco, Jon Liisberg, Jan Kloppenborg Møller, Henrik Aalborg Nielsen, Henrik Madsen
Users can create new models for their particular applications and run models in an operational setting.