IRMAC: Interpretable Refined Motifs and Binary Classification for Rooftops PV Owners. - Rui Yuan; S. Ali Pourmousavi; Wen L. Soong; Giang Nguyen; Jon A. R. Liisberg (CoRR, 2021)

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 (e-Energy, 2022)

Optimal offering strategy for an aggregator across multiple products of European day-ahead market. - Yogesh Pipada Sunil Kumar; S. Ali Pourmousavi; Markus Wagner 007; Jon A. R. Liisberg (ISGT-Europe, 2022)

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; Julián Lemos-Vinascco (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; Julián Lemos-Vinasco; Jon A. R. Liisberg (CoRR, 2023)

IRMAC: Interpretable Refined Motifs in Binary Classification for smart grid applications. - Rui Yuan; S. Ali Pourmousavi; Wen L. Soong; Giang Nguyen; Jon A. R. Liisberg (Eng. Appl. Artif. Intell., 2023)

Onlineforecast: An R Package for Adaptive and Recursive Forecasting. - Peder Bacher; Hjörleifur G. Bergsteinsson; Linde Frölke; Mikkel L. Sørensen; Julián Lemos-Vinasco; Jon A. R. Liisberg; Jan Kloppenborg Møller; Henrik Aalborg Nielsen; Henrik Madsen (R J., 2023)

Dynamic and Memory-efficient Shape Based Methodologies for User Type Identification in Smart Grid Applications. - Rui Yuan; S. Ali Pourmousavi; Wen L. Soong; Jon A. R. Liisberg (CoRR, 2024)

Modeling Irrational Behavior of Residential End Users Using Non-Stationary Gaussian Processes. - Nam Trong Dinh; Sahand Karimi-Arpanahi; Rui Yuan; S. Ali Pourmousavi; Mingyu Guo; Jon A. R. Liisberg; Julián Lemos-Vinasco (IEEE Trans. Smart Grid, 2024)