no code implementations • 13 Nov 2023 • Cameron Cornell, Nam Trong Dinh, S. Ali Pourmousavi
The South Australia region of the Australian National Electricity Market (NEM) displays some of the highest levels of price volatility observed in modern electricity markets.
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 • 21 Dec 2022 • Christoph Bergmeir, Frits de Nijs, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John Betts, Quang Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, Evgenii Genov, Robert Glasgow, Rakshitha Godahewa, Yanfei Kang, Steffen Limmer, Luis Magdalena, Pablo Montero-Manso, Daniel Peralta, Yogesh Pipada Sunil Kumar, Alejandro Rosales-Pérez, Julian Ruddick, Akylas Stratigakos, Peter Stuckey, Guido Tack, Isaac Triguero, Rui Yuan
As both forecasting and optimization are difficult problems in their own right, relatively few research has been done in this area.
no code implementations • 24 Oct 2022 • Yogesh Pipada Sunil Kumar, Rui Yuan, Nam Trong Dinh, S. Ali Pourmousavi
Energy usage optimal scheduling has attracted great attention in the power system community, where various methodologies have been proposed.
1 code implementation • 6 Dec 2021 • Rui Yuan, Nam Trong Dinh, Yogesh Pipada, S. Ali Pourmouasvi
In this report, we provide a technical sequence on tackling the solar PV and demand forecast as well as optimal scheduling problem proposed by the IEEE-CIS 3rd technical challenge on predict + optimize for activity and battery scheduling.