Nam Trong Dinh

According to our database, Nam Trong Dinh authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market.

Cameron Cornell, Nam Trong Dinh, S. Ali Pourmousavi

CoRR, 2023

On the Financial Consequences of Simplified Battery Sizing Models without Considering Operational Details.

Nam Trong Dinh, Sahand Karimi-Arpanahi, S. Ali Pourmousavi, Mingyu Guo, Julian Lemos-Vinasco, Jon A. R. Liisberg

CoRR, 2023

Modelling Irrational Behaviour of Residential End Users using Non-Stationary Gaussian Processes.

Nam Trong Dinh, Sahand Karimi-Arpanahi, S. Ali Pourmousavi, Rui Yuan, Mingyu Guo, Jon A. R. Liisberg, Julian Lemos-Vinascco

CoRR, 2023

2022

Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy.

Christoph Bergmeir, Frits de Nijs, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John M. 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 C. Stratigakos, Peter J. Stuckey, Guido Tack, Isaac Triguero, Rui Yuan

CoRR, 2022

Optimal activity and battery scheduling algorithm using load and solar generation forecasts.

Yogesh Pipada Sunil Kumar, Rui Yuan, Nam Trong Dinh, S. Ali Pourmousavi

CoRR, 2022

Optimal sizing and scheduling of community battery storage within a local market.

Nam Trong Dinh, S. Ali Pourmousavi, Sahand Karimi-Arpanahi, Yogesh Pipada Sunil Kumar, Mingyu Guo, Derek Abbott, Jon A. R. Liisberg

Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

2021

Optimal activity and battery scheduling algorithm using load and solar generation forecast.

Rui Yuan, Nam Trong Dinh, Yogesh Pipada Sunil Kumar, S. Ali Pourmousavi

CoRR, 2021