Phil Aupke

According to our database, Phil Aupke authored at least 3 papers between 2022 and 2024.

Collaborative distances:

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

2024

Uncertainty-Aware Forecasting of Computational Load in MECs Using Distributed Machine Learning: A Tokyo Case Study.

Phil Aupke, Akihiro Nakao, Andreas Kassler

Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

2023

DA-LSTM: A dynamic drift-adaptive learning framework for interval load forecasting with LSTM networks.

Firas Bayram, Phil Aupke, Bestoun S. Ahmed, Andreas Kassler, Andreas D. Theocharis, Jonas Forsman

Eng. Appl. Artif. Intell., 2023

2022

Impact of Clustering Methods on Machine Learning-based Solar Power Prediction Models.

Phil Aupke, Andreas Kassler, Andreas D. Theocharis, Magnus Nilsson, Isac Myrén Andersson

Proceedings of the IEEE International Smart Cities Conference, 2022