Peter Sokolowski

Orcid: 0000-0001-8910-1294

According to our database1, Peter Sokolowski authored at least 18 papers between 2014 and 2022.

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

Timeline

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Bibliography

2022
An interpretable classification approach for Solar PV load profiles using decision trees.
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022

Solving Discrete Optimal Power Flow Problem via Power Gird Topology Exploitation.
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022

2021
A Novel Clustering Index to Find Optimal Clusters Size With Application to Segmentation of Energy Consumers.
IEEE Trans. Ind. Informatics, 2021

Multi-day Residential EV Charging Strategy Using Reinforcement Learning.
Proceedings of the 30th IEEE International Symposium on Industrial Electronics, 2021

Probabilistic CVR Assessment using Load Modelling in Renewable-rich Power Systems.
Proceedings of the 2021 IEEE PES Innovative Smart Grid Technologies, 2021

Solar PV Detection Using an Optimal Template Approach with Genetic Algorithm.
Proceedings of the IECON 2021, 2021

Rule extraction from electricity load profile data for smart metering analytics.
Proceedings of the IECON 2021, 2021

2020
Impact of Renewable Integration in Distribution Networks on Static Load Model Parameters.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020

A Motif-based Classification Algorithm for Identifying Solar Panel Installations.
Proceedings of the 2020 IEEE International Conference on Industrial Technology, 2020

2019
Optimal Clustering of Energy Consumers based on Entropy of the Correlation Matrix between Clusters.
CoRR, 2019

Using revealed-bidding in power markets: A paradigmatic model.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

Descending-clock reverse auction for electricity markets considering power flow constraints.
Proceedings of the IECON 2019, 2019

Impact of FCAS Market Rules on Australia's National Electricity Market Dynamic Stability.
Proceedings of the IEEE International Conference on Industrial Technology, 2019

Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting.
Proceedings of the Engineering Applications of Neural Networks, 2019

2018
Demand Response Planning Tool using Markov Decision Process.
Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

2017
A multi-agent simulation framework for distributed generation with battery storage.
Proceedings of the 26th IEEE International Symposium on Industrial Electronics, 2017

Roles of policy settings in distributed generation with battery storage.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

2014
Characterizing leakage current on polluted insulators by measuring nonlinearity.
Proceedings of the 23rd IEEE International Symposium on Industrial Electronics, 2014


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