Jon A. R. Liisberg

According to our database1, Jon A. R. Liisberg authored at least 11 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Dynamic and Memory-Efficient Shape-Based Methodologies for User Type Identification in Smart Grid Applications.
IEEE Trans. Ind. Informatics, February, 2026

Efficient reformulations of ReLU deep neural networks for surrogate modelling in power system optimisation.
CoRR, January, 2026

Calibrated uncertainty quantification for prosumer flexibility aggregation in ancillary service markets.
CoRR, January, 2026

2024
Modeling Irrational Behavior of Residential End Users Using Non-Stationary Gaussian Processes.
IEEE Trans. Smart Grid, September, 2024

2023
Onlineforecast: An R Package for Adaptive and Recursive Forecasting.
R J., March, 2023

IRMAC: Interpretable Refined Motifs in Binary Classification for smart grid applications.
Eng. Appl. Artif. Intell., 2023

On the Financial Consequences of Simplified Battery Sizing Models without Considering Operational Details.
CoRR, 2023

Modelling Irrational Behaviour of Residential End Users using Non-Stationary Gaussian Processes.
CoRR, 2023

2022
Optimal offering strategy for an aggregator across multiple products of European day-ahead market.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2022

Optimal sizing and scheduling of community battery storage within a local market.
Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

2021
IRMAC: Interpretable Refined Motifs and Binary Classification for Rooftops PV Owners.
CoRR, 2021


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