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R. John Millar
Person information
- affiliation: Aalto University, Espoo, Finland
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2020 – today
- 2023
- [j8]Mohammad Jooshaki, Sahand Karimi-Arpanahi, R. John Millar, Matti Lehtonen, Mahmud Fotuhi-Firuzabad:
On the MILP Modeling of Remote-Controlled Switch and Field Circuit Breaker Malfunctions in Distribution System Switch Placement. IEEE Access 11: 40905-40915 (2023) - 2022
- [d2]Mohammad Jooshaki, Sahand Karimi-Arpanahi, R. John Millar, Matti Lehtonen, Mahmud Fotuhi-Firuzabad:
Test Distribution Networks for Reliability-Oriented Switch Optimization. IEEE DataPort, 2022 - 2021
- [j7]Mohammad Jooshaki, Sahand Karimi-Arpanahi, Matti Lehtonen, R. John Millar, Mahmud Fotuhi-Firuzabad:
An MILP Model for Optimal Placement of Sectionalizing Switches and Tie Lines in Distribution Networks With Complex Topologies. IEEE Trans. Smart Grid 12(6): 4740-4751 (2021) - [c6]Arslan Ahmad Bashir, R. John Millar, Mahdi Pourakbari-Kasmaei, Matti Lehtonen:
Impact of Extensive Wind Power on Future Day-ahead Prices in the Nordic Electricity Market. ISGT-Europe 2021: 1-5 - [d1]Mohammad Jooshaki, Sahand Karimi-Arpanahi, Matti Lehtonen, R. John Millar, Mahmud Fotuhi-Firuzabad:
Test Distribution Networks for Reliability-Based Studies. IEEE DataPort, 2021 - 2020
- [j6]Mohammad Jooshaki, Sahand Karimi-Arpanahi, Matti Lehtonen, R. John Millar, Mahmud Fotuhi-Firuzabad:
Electricity Distribution System Switch Optimization Under Incentive Reliability Scheme. IEEE Access 8: 93455-93463 (2020) - [j5]Mohammad Jooshaki, Sahand Karimi-Arpanahi, Matti Lehtonen, R. John Millar, Mahmud Fotuhi-Firuzabad:
Reliability-Oriented Electricity Distribution System Switch and Tie Line Optimization. IEEE Access 8: 130967-130978 (2020)
2010 – 2019
- 2019
- [j4]Abinet Tesfaye Eseye, Matti Lehtonen, Toni Tukia, Semen Uimonen, R. John Millar:
Adaptive Predictor Subset Selection Strategy for Enhanced Forecasting of Distributed PV Power Generation. IEEE Access 7: 90652-90665 (2019) - [j3]Abinet Tesfaye Eseye, Matti Lehtonen, Toni Tukia, Semen Uimonen, R. John Millar:
Machine Learning Based Integrated Feature Selection Approach for Improved Electricity Demand Forecasting in Decentralized Energy Systems. IEEE Access 7: 91463-91475 (2019) - [j2]Abinet Tesfaye Eseye, Matti Lehtonen, Toni Tukia, Semen Uimonen, R. John Millar:
Optimal Energy Trading for Renewable Energy Integrated Building Microgrids Containing Electric Vehicles and Energy Storage Batteries. IEEE Access 7: 106092-106101 (2019) - [c5]Abinet Tesfaye Eseye, Matti Lehtonen, Toni Tukia, Semen Uimonen, R. John Millar:
Short-term Forecasting of Electricity Consumption in Buildings for Efficient and Optimal Distributed Energy Management. INDIN 2019: 1103-1110 - [c4]Abinet Tesfaye Eseye, Matti Lehtonen, Toni Tukia, Semen Uimonen, R. John Millar:
Day-ahead Prediction of Building District Heat Demand for Smart Energy Management and Automation in Decentralized Energy Systems. INDIN 2019: 1694-1699 - [c3]Abinet Tesfaye Eseye, Matti Lehtonen, Toni Tukia, Semen Uimonen, R. John Millar:
Effective Input Dataset Identification Methodology for Accurate Prediction of Local PV Power Production. ISGT Europe 2019: 1-5 - [c2]Abinet Tesfaye Eseye, Matti Lehtonen, Toni Tukia, Semen Uimonen, R. John Millar:
Efficient Feature Selection Strategy for Accurate Electricity Demand Forecasting. ISGT Europe 2019: 1-5 - 2015
- [c1]Bruno Jorge de Oliveira e Sousa, R. John Millar, Matti Lehtonen:
Influence of voltage sags and outage costs on realistic radial and backed-up 20-kV rural and urban networks. AFRICON 2015: 1-5 - 2012
- [j1]R. John Millar, Shahram Kazemi, Matti Lehtonen, Eero Saarijärvi:
Impact of MV Connected Microgrids on MV Distribution Planning. IEEE Trans. Smart Grid 3(4): 2100-2108 (2012)
Coauthor Index
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