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Peter Sokolowski
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2020 – today
- 2022
- [c16]Wenhua Ling, Geordie Dalzell, Xinghuo Yu, Brendan P. McGrath, Peter Sokolowski:
An interpretable classification approach for Solar PV load profiles using decision trees. ISIE 2022: 522-527 - [c15]Sebastian Lange, Peter Sokolowski, Xinghuo Yu:
Solving Discrete Optimal Power Flow Problem via Power Gird Topology Exploitation. ISIE 2022: 876-882 - 2021
- [j1]Nameer Al Khafaf, Mahdi Jalili, Peter Sokolowski:
A Novel Clustering Index to Find Optimal Clusters Size With Application to Segmentation of Energy Consumers. IEEE Trans. Ind. Informatics 17(1): 346-355 (2021) - [c14]Geordie Dalzell, Xinghuo Yu, Peter Sokolowski:
Rule extraction from electricity load profile data for smart metering analytics. IECON 2021: 1-6 - [c13]Wenhua Ling, Geordie Dalzell, Xinghuo Yu, Brendan P. McGrath, Peter Sokolowski:
Solar PV Detection Using an Optimal Template Approach with Genetic Algorithm. IECON 2021: 1-6 - [c12]Mir Toufikur Rahman, Kazi N. Hasan, Peter Sokolowski, Mohammed Alzubaidi:
Probabilistic CVR Assessment using Load Modelling in Renewable-rich Power Systems. ISGT Asia 2021: 1-5 - [c11]Dominic Goh, Peter Sokolowski, Mahdi Jalili:
Multi-day Residential EV Charging Strategy Using Reinforcement Learning. ISIE 2021: 1-6 - 2020
- [c10]Wenhua Ling, Xinghuo Yu, Jia Wang, Peter Sokolowski:
A Motif-based Classification Algorithm for Identifying Solar Panel Installations. ICIT 2020: 595-600 - [c9]Mir Toufikur Rahman, Kazi N. Hasan, Peter Sokolowski:
Impact of Renewable Integration in Distribution Networks on Static Load Model Parameters. ISGT-Europe 2020: 725-729
2010 – 2019
- 2019
- [c8]Nameer Al Khafaf, Mahdi Jalili, Peter Sokolowski:
Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting. EANN 2019: 31-42 - [c7]Jack Bryant, Peter Sokolowski, Lasantha Meegahapola:
Impact of FCAS Market Rules on Australia's National Electricity Market Dynamic Stability. ICIT 2019: 637-642 - [c6]Sebastian Lange, Jack Bryant, Peter Sokolowski, Xinghuo Yu:
Descending-clock reverse auction for electricity markets considering power flow constraints. IECON 2019: 5947-5952 - [c5]Sebastian Lange, Peter Sokolowski, Eckehard Schöll, Xinghuo Yu:
Using revealed-bidding in power markets: A paradigmatic model. ISIE 2019: 183-188 - [i2]Nameer Al Khafaf, Mahdi Jalili, Peter Sokolowski:
Optimal Clustering of Energy Consumers based on Entropy of the Correlation Matrix between Clusters. CoRR abs/1903.01159 (2019) - [i1]Nameer Al Khafaf, Mahdi Jalili, Peter Sokolowski:
Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting. CoRR abs/1903.11941 (2019) - 2018
- [c4]Nameer Al Khafaf, Mahdi Jalili, Peter Sokolowski:
Demand Response Planning Tool using Markov Decision Process. INDIN 2018: 484-489 - 2017
- [c3]Peter Sokolowski, Wei Peng, Ragini Patel, Xinghuo Yu:
Roles of policy settings in distributed generation with battery storage. IECON 2017: 4802-4807 - [c2]Wei Peng, Peter Sokolowski, Ragini Patel, Xinghuo Yu, Damminda Alahakoon:
A multi-agent simulation framework for distributed generation with battery storage. ISIE 2017: 37-42 - 2014
- [c1]Peter Sokolowski, Xiangjun Li, Xinghuo Yu, Yong Feng:
Characterizing leakage current on polluted insulators by measuring nonlinearity. ISIE 2014: 2427-2432
Coauthor Index
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