Publications

2025

• Hussain, A., Kazemi, N., & Musilek, P. (2025). Clustering-based EV suitability analysis for grid support services. Energy, 320, 134970.
• Ahsan, S. M., & Musilek, P. (2025). Optimizing Multi-Microgrid Operations with Battery Energy Storage and Electric Vehicle Integration: A Comparative Analysis of Strategies. Batteries, 11(4), 129.
• Chadegani, R. E., Sharifi, S., Faridpak, B., Hammad, A., Al-Hussein, M., & Musilek, P. (2025). Techno-economic assessment of a solar-powered green hydrogen storage concept based on reversible solid oxide cells for residential micro-grid: A case study in Calgary. Energy, 134981.
• Ahsan, S. M., Iqbal, M. A., Hussain, A., & Musilek, P. (2025). Adaptive Pricing-Based Optimized Resource Utilization in Networked Microgrids. IEEE Access.

2024

• Faridpak, B., & Musilek, P. (2024). Resilient Operation Strategies for Integrated Power-Gas Systems. Energies, 17(24), 6270.
• May, D. C., Taylor, M., & Musilek, P. (2024). Decentralized coordination of distributed energy resources through local energy markets and deep reinforcement learning. Energy and AI, 18, 100446.
• Kazemi, N., Abdolrazzaghi, M., Musilek, P., & Baladi, E. (2024). A planar compact absorber for microwave sensing based on transmission-line metamaterials. IEEE Sensors Journal.
• Gholizadeh, N., & Musilek, P. (2024). A Generalized Deep Reinforcement Learning Model for Distribution Network Reconfiguration with Power Flow-Based Action-Space Sampling. Energies, 17(20), 5187.
• Hussain, A., & Musilek, P. (2024, October). Equitable Distribution of Community Energy Resources for Underprivileged Households. In 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) (pp. 1-5). IEEE.
• Nazari, Z., Vahidi, A. R., & Musilek, P. (2024). Blockchain and Artificial Intelligence Non-Formal Education System (BANFES). Education Sciences, 14(8), 881.
• Gholizadeh, N., & Musilek, P. (2024). Daily electric vehicle charging dataset for training reinforcement learning algorithms. Data in Brief, 55, 110587.
• Nazari, Z., & Musilek, P. (2024, July). Uncovering Patterns in Electric Vehicle Charging: A Data-Driven Approach. In 2024 IEEE Power & Energy Society General Meeting (PESGM) (pp. 1-5). IEEE.
• Ghiasvand, F., Kazemi, N., Musilek, P., & Baladi, E. (2024, July). A Fresnel Elliptical Reflector for MMW and THz Near Field Imaging. In 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI) (pp. 2465-2466). IEEE.
• Kazemi, N., Abdolrazzaghi, M., Musilek, P., & Baladi, E. (2024, July). Predictive/Robust Microwave Sensor Using LSTM. In 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI) (pp. 897-898). IEEE.
• Kazemi, N., Abdolrazzaghi, M., Musilek, P., & Baladi, E. (2024, July). A CNN-based Material Classification Approach Using Heatmap of a Dual-band Microwave Sensor. In 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI) (pp. 671-672). IEEE.
• Ibrahim, O. A., Wang, J., Reformat, M. Z., Musilek, P., & Bezdek, J. C. (2024, June). Generalized Deep Embedded Fuzzy C-Means for Clustering High-Dimensional Data. In 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1-8). IEEE.
• Tchir, Z., Musilek, P., & Reformat, M. Z. (2024, June). Adaptive Home Energy Management: Human-Centric RL Approach for Diverse Situations. In 2024 IEEE Conference on Artificial Intelligence (CAI) (pp. 104-110). IEEE.
• Gholizadeh, N., & Musilek, P. (2024). Explainable reinforcement learning for distribution network reconfiguration. Energy Reports, 11, 5703-5715.
• Zhou, M., Kazemi, N., & Musilek, P. (2024). Distribution grid fault classification and localization using convolutional neural networks. Smart Grids and Sustainable Energy, 9(1), 24.
• Pemachandra, V., Musilek, P., & Kish, G. (2024). Optimizing High-Voltage Direct Current Transmission Corridors: Dynamic Thermal Line Rating for Enhanced Renewable Generation and Greenhouse Gas Emission Reductions. Energies, 17(10), 2318.
• Fan, C., Khazaei, H., & Musilek, P. (2024). Bpet: A unified blockchain-based framework for peer-to-peer energy trading. Future Internet, 16(5), 162.
• Lashkari, B., & Musilek, P. (2024). Consensus mechanisms.
• Musilek, P., & Hussain, A. (2024). Equity-oriented power sharing and demand response for enhancing green energy access in mixed communities. Energy and Buildings, 308, 114029.
• May, D. C., & Musilek, P. Transactive Local Energy Markets Enable Community-Level Resource Coordination Using Individual Rewards. arXiv 2024. arXiv preprint arXiv:2403.15617.
• Faridpak, B., & Musilek, P. (2024). Step-by-Step mixture calculations for each time interval by sampling from joint distribution of wind speed (υ) and Solar radiation (s).
• Sabuhi, M., Musilek, P., & Bezemer, C. P. (2024). Micro-fl: A fault-tolerant scalable microservice-based platform for federated learning. Future Internet, 16(3), 70.
• Imam, F., Musilek, P., & Reformat, M. Z. (2024). Parametric and nonparametric machine learning techniques for increasing power system reliability: a review. Information, 15(1), 37.
• Hussain, A., & Musilek, P. (2024). Energy management of buildings with energy storage and solar photovoltaic: A diversity in experience approach for deep reinforcement learning agents. Energy and AI, 15, 100313.

2023

• Kor, Y., Tan, L., Musilek, P., & Reformat, M. Z. (2023). Integrating knowledge graphs into distribution grid decision support systems. Future Internet, 16(1), 2.
• Sohrabbeig, A., Ardakanian, O., & Musilek, P. (2023). Decompose and Conquer: Time Series Forecasting with Multiseasonal Trend Decomposition Using Loess. Forecasting, 5(4), 684-696.
• Kazemi, N., Abdolrazzaghi, M., Light, P. E., & Musilek, P. (2023). In–human testing of a non-invasive continuous low–energy microwave glucose sensor with advanced machine learning capabilities. Biosensors and Bioelectronics, 241, 115668.
• Sharma, S., Farrokhabadi, M., Zareipour, H., & Musilek, P. (2023, October). Mitigating the Energy Market Death Spiral through Long-Term Volume Firming Contracts. In 2023 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) (Vol. 7, pp. 1-6). IEEE.
• Hussain, A., Bui, V. H., & Musilek, P. (2023). Local demand management of charging stations using vehicle-to-vehicle service: A welfare maximization-based soft actor-critic model. Etransportation, 18, 100280.
• Lashkari, B., & Musilek, P. (2023). Evaluation of Smart Contract Vulnerability Analysis Tools: A Domain-Specific Perspective. Information, 14(10), 533.
• Ibrahim, O. A., Reformat, M., & Musilek, P. (2023, August). Incremental Cluster Validity Index for Predicting Early Signs of Change in Data Streams. In 2023 IEEE International Conference on Fuzzy Systems (FUZZ) (pp. 1-7). IEEE.
• Hussain, A., & Musilek, P. (2023, July). Energy Allocation of the Community Energy Storage System: A Contribution-Based Incentive Mechanism. In 2023 IEEE Power & Energy Society General Meeting (PESGM) (pp. 1-5). IEEE.
• Tchir, Z., Reformat, M. Z., & Musilek, P. (2023, June). Home Energy Management with V2X Capability using Reinforcement Learning. In 2023 IEEE Conference on Artificial Intelligence (CAI) (pp. 89-91). IEEE.
• Lashkari, B., & Musilek, P. (2023). Detection and Analysis of Ethereum Energy Smart Contracts. Applied Sciences, 13(10), 6027.
• Nazari, Z., & Musilek, P. (2023). Impact of digital transformation on the energy sector: A review. Algorithms, 16(4), 211.
• Atrazhev, P., & Musilek, P. (2023). It’s all about reward: Contrasting joint rewards and individual reward in centralized learning decentralized execution algorithms. Systems, 11(4), 180.
• Kazemi, N., & Musilek, P. (2023). Resolution enhancement of microwave sensors using super-resolution generative adversarial network. Expert Systems with Applications, 213, 119252.
• Zhang, S., & Musilek, P. (2023). The impact of battery storage on power flow and economy in an automated transactive energy market. Energies, 16(5), 2251.
• Gholizadeh, N., Kazemi, N., & Musilek, P. (2023). A comparative study of reinforcement learning algorithms for distribution network reconfiguration with deep Q-learning-based action sampling. Ieee Access, 11, 13714-13723.
• Nazari, M., Hussain, A., & Musilek, P. (2023). Applications of clustering methods for different aspects of electric vehicles. Electronics, 12(4), 790.
• Lashkari, B., & Musilek, P. (2023). Evaluation of Smart Contract Vulnerability Analysis Tools: A Domain-Specific Perspective. Information, 14(10), 533.

2022

• Avkhimenia, V., Gemignani, M., Musilek, P., & Weis, T. (2022, December). Deep Learning Control of Transmission System with Battery Storage and Dynamic Line Rating. In 2022 IEEE Sustainable Power and Energy Conference (iSPEC) (pp. 1-5). IEEE.
• Dachuk, A., Hussain, A., & Musilek, P. (2022, December). Introducing Electric Vehicles to Remote Indigenous Communities: Benefits, Barriers, and Future Prospects. In 2022 IEEE International Humanitarian Technology Conference (IHTC) (pp. 23-26). IEEE.
• Hussain, A., & Musilek, P. (2022). Utility-scale energy storage system for load management under high penetration of electric vehicles: A marginal capacity value-based sizing approach. Journal of Energy Storage, 56, 105922.
• Avkhimenia, V., Gemignani, M., Weis, T., & Musilek, P. (2022). Deep Reinforcement Learning-Based Operation of Transmission Battery Storage with Dynamic Thermal Line Rating. Energies, 15(23), 9032.
• Sharp, I., Sanchez-Azofeifa, A., & Musilek, P. (2022). Land Product Validation of MODIS Derived FPAR products over a tropical dry-forest. Authorea Preprints.
• Kazemi, N., & Musilek, P. (2022). Enhancing microwave sensor performance with ultrahigh Q features using CycleGAN. IEEE Transactions on Microwave Theory and Techniques, 70(12), 5369-5382.
• Fan, C., Lin, C., Khazaei, H., & Musilek, P. (2022, August). Performance analysis of hyperledger besu in private blockchain. In 2022 IEEE international conference on decentralized applications and infrastructures (DAPPS) (pp. 64-73). IEEE.
• Kazemi, N., Gholizadeh, N., & Musilek, P. (2022). Selective microwave zeroth-order resonator sensor aided by machine learning. Sensors, 22(14), 5362.
• Avkhimenia, V., Musilek, P., & Weis, T. (2022, July). Sizing transmission-scale battery energy storage system with dynamic thermal line rating. In 2022 IEEE Power & Energy Society General Meeting (PESGM) (pp. 1-5). IEEE.
• Rouhani, M., Ardakanian, O., & Musilek, P. (2022, July). Robust sizing of solar-powered charging station with co-located energy storage. In 2022 IEEE Power & Energy Society General Meeting (PESGM) (pp. 1-5). IEEE.
• Atrazhev, P., & Musilek, P. (2022, July). Investigating effects of centralized learning decentralized execution on team coordination in the level based foraging environment as a sequential social dilemma. In International Conference on Practical Applications of Agents and Multi-Agent Systems (pp. 15-23). Cham: Springer International Publishing.
• Schofield, K., & Musilek, P. (2022). State of charge and capacity tracking in vanadium redox flow battery systems. Clean Technologies, 4(3), 607-618.
• Zhang, T., S, A. K. G., Afshari, M., Musilek, P., Taylor, M. E., & Ardakanian, O. (2022, June). Diversity for transfer in learning-based control of buildings. In Proceedings of the Thirteenth ACM International Conference on Future Energy Systems (pp. 556-564).
• Hussain, A., Gerasimov, K., Chapelsky, C., & Musilek, P. (2022, June). Utility-scale energy storage system for managing EV load in connected distribution circuits. In IET Conference Proceedings CP798 (Vol. 2022, No. 3, pp. 152-156). Stevenage, UK: The Institution of Engineering and Technology.
• Zhang, S., May, D., Gül, M., & Musilek, P. (2022). Reinforcement learning-driven local transactive energy market for distributed energy resources. Energy and AI, 8, 100150.
• Hussain, A., & Musilek, P. (2022). Resilience enhancement strategies for and through electric vehicles. Sustainable Cities and Society, 80, 103788.
• Hussain, A., & Musilek, P. (2022, April). A Reward Mechanism for Reliability-as-a-Service Usage of Electric Vehicles. In 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) (pp. 1-5). IEEE.
• Sabuhi, M., Musilek, P., & Bezemer, C. P. (2022, April). Studying the performance risks of upgrading Docker Hub images: a case study of WordPress. In Proceedings of the 2022 ACM/SPEC on International Conference on Performance Engineering (pp. 97-104).
• Karimi, S., Dawson, L., Musilek, P., & Knight, A. M. (2022). Forecast of transmission line clearance using quantile regression‐based weather forecasts. IET Generation, Transmission & Distribution, 16(8), 1639-1647.
• Hussain, A., & Musilek, P. (2022). Fairness and utilitarianism in allocating energy to EVs during power contingencies using modified division rules. IEEE Transactions on Sustainable Energy, 13(3), 1444-1456.
• Gholizadeh, N., & Musilek, P. (2022). Federated learning with hyperparameter-based clustering for electrical load forecasting. Internet of Things, 17, 100470.
• Hussain, A., & Musilek, P. (2022). Reliability-as-a-Service usage of electric vehicles: suitability analysis for different types of buildings. Energies, 15(2), 665.
• Buss, A., Reformat, M. Z., & Musilek, P. (2022). olgga: An On-Line Generation-Less Genetic Algorithm. Computational Intelligence and Mathematics for Tackling Complex Problems 3, 139-147.
• Barton, T., & Musilek, P. (2022). Probabilistic forecasting of dynamic thermal line rating with temporal correlations. International Journal of Electrical Power & Energy Systems, 134, 107443.

2021

• M. Sabuhi, M. Zhou, C-P. Bezemer, P. Musilek, Applications of Generative Adversarial Networks (GANs) For Anomaly Detection: A Systematic Literature Review, IEEE Access, vol. 9, Nov. 2021, 161003 -161029
• N. Gholizadeh, P. Musilek, Distributed Learning Applications in Power Systems: Methods, Gaps, and Challenges, Energies. 2021; 14(12):3654. DOI:10.3390/en14123654
• N. Kazemi, K. Schofield, P. Musilek, A High-Resolution Reflective Microwave Planar Sensor for Sensing of Vanadium Electrolyte, Sensors. 2021; 21(11):3759. DOI:10.3390/s21113759
• N. Kazemi, P. Musilek, Comparative Analysis of Machine Learning Techniques for Temperature Compensation in Microwave Sensors, IEEE Transactions on Microwave Theory and Techniques (available in early access)
• M. Al-Saffar, P. Musilek, Distributed Optimization for Distribution Grids with Stochastic DER using Multi-Agent Deep Reinforcement Learning, IEEE Access, vol. 9, pp. 63059-63072, 2021, doi: 10.1109/ACCESS.2021.3075247
• B. Lashkari, P. Musilek, A Comprehensive Review of Blockchain Consensus Mechanisms, IEEE Access, 9, 2021, pp. 43620-43652, doi: 10.1109/ACCESS.2021.3065880
• C. Quiroz-Juarez, P. Musilek, Real-time battery optimal operation with neural networks, Canadian Conference of Electrical and Computer Engineering (CCECE 2021), Sep 12-17, 2021 (virtual)
• K. Schofield, N. Kazemi, P. Musilek, VRF Battery Characterization Using Microwave Planar Complementary Split Ring Resonators, Canadian Conference of Electrical and Computer Engineering (CCECE 2021), Sep 12-17, 2021 (virtual)

2020

• N. Kazemi, M. Abdolrazzaghi, P. Musilek and M. Daneshmand, A Temperature-Compensated High-Resolution Microwave Sensor Using Artificial Neural Network, IEEE Microwave and Wireless Components Letters, vol. 30, no. 9, pp. 919-922, Sept. 2020, doi: 10.1109/LMWC.2020.3012388
• Fan, C., Ghaemi, S., Khazaei, H., and Musilek, P., Performance Evaluation of Blockchain Systems: A Systematic Survey, IEEE Access, vol. 8, pp. 126927-126950, 2020, doi:10.1109/ACCESS.2020.3006078
• Ghaemi, S., Khazaei, H., and Musilek, P., ChainFaaS: An Open Blockchain-Based Serverless Platform, IEEE Access, vol. 8, pp. 131760-131778, 2020, doi:10.1109/ACCESS.2020.3010119
• M. Al-Saffar and P. Musilek, “Reinforcement Learning based Distributed BESS Management for Mitigating Overvoltage Issues in Systems with High PV Penetration,” IEEE Transactions on Smart Grid, 11(4), pp. 2980-2994, 2020
• Kromer, P., Hasal, M., Nowakova, J., Heckenbergerova, J., Musilek, P., Statistical and Nature–inspired Modelling of Vehicle Flows by Finite Mixtures of Simple Circular Normal Distributions, IEEE Intelligent Transportation Systems Magazine, 12(4), pp. 182-194, 2020
• E. Kharlova, D. May, P. Musilek, Forecasting Photovoltaic Power Production using a Deep Learning Sequence to Sequence Model with Attention, International Joint Conference on Neural Networks (IJCNN), 2020 IEEE WCCI, Glasgow, UK, July 19-24, 2020
• S. Zhang, D. May, P. Atrazhev, M. Gul, P. Musilek, Flexibility Platform for Community Energy Systems, CIRED 2020 Workshop, Berlin, Germany, September 22-23, 2020
• J. Schaluwitz, P. Musilek, A Dimension-Wise Particle Swarm Optimization Algorithm Optimized via Self-Tuning, International Congress on Evolutionary Computing (CEC), 2020 IEEE WCCI, Glasgow, UK, July 19-24, 2020
• B. Lashkari, Y. Chen, M. Musilek, P. Musilek, Intelligent Scheduling of Heat Pump to Minimize the Cost of Electricity, 21st International Scientific Conference on Electric Power Engineering (EPE 2020), October 19-21, Prague, Czech Republic
• T. Barton, M. Musilek, P. Musilek, The Effect of Temporal Discretization on Dynamic Thermal Line Rating, 21st International Scientific Conference on Electric Power Engineering (EPE 2020), October 19-21, Prague, Czech Republic
• Y. Kor, M. Reformat, P. Musilek, Predicting Weather-related Power Outages in Distribution Grid, 2020 IEEE PES General Meeting, August 2-6, Montreal, QB, Canada
• Kor, Y., Tan, L., Reformat, M., P. Musilek,  GridKG: Knowledge Graph Representation of Distribution Grid Data. 20th IEEE Canada Power and Energy Conference (EPEC2020), Edmonton, Edmonton, Canada
• Woodhouse, N., P. Musilek,  Computational Acquisition of Meteorological Data for Applications in Electric Power Systems. 20th IEEE Canada Power and Energy Conference (EPEC2020), Edmonton, Canada
• Schatz, A., P. Musilek,  Implications of Microgrids, Economic Autonomy and Renewable Energy Systems for Remote Indigenous Communities. 20th IEEE Canada Power and Energy Conference (EPEC2020), Edmonton, Canada
• A. Buss, M. Z. Reformat, P. Musilek. OLGGA: An On-Line Generation-less Genetic Algorithm. 12^th European Symposium on Computational Intelligence and Mathematics ESCIM2020, Budapest, Hungary

2019

• Zarnani, A.; Karimi, S.; Musilek, P. (2019) Quantile Regression and Clustering Models of Prediction Intervals for Weather Forecasts: A Comparative Study. Forecasting, 1, 169-188.
• Al-Saffar, M., & Musilek, P. (2019). Distributed optimal power flow for electric power systems with high penetration of distributed energy resources. Proceedings of the 2019 IEEE Canadian Conference of Electrical and Computer Engineering, CCECE 2019, doi:10.1109/CCECE.2019.8861718
• Al-Saffar, M., Zhang, S., Nassif, A., & Musilek, P. (2019). Assessment of photovoltaic hosting capacity of existing distribution circuits. Proceedings of the 2019 IEEE Canadian Conference of Electrical and Computer Engineering, CCECE 2019, doi:10.1109/CCECE.2019.8861957
• Bardwell, M., & Musilek, P. (2019). Enhancing power flow simulations using function mapping. Proceedings of the 2019 IEEE Canadian Conference of Electrical and Computer Engineering, CCECE 2019, doi:10.1109/CCECE.2019.8861930
• Barton, T., & Musilek, P. (2019). Day-ahead dynamic thermal line rating using numerical weather prediction. Proceedings of the 2019 IEEE Canadian Conference of Electrical and Computer Engineering, CCECE 2019, doi:10.1109/CCECE.2019.8861883
• Fan, C., Khazaei, H., Chen, Y., & Musilek, P. (2019). Towards a scalable dag-based distributed ledger for smart communities. Proceedings of the IEEE 5th World Forum on Internet of Things, WF-IoT 2019 – Conference Proceedings, 177-182. doi:10.1109/WF-IoT.2019.8767342
• Konecny, J., Kromer, P., Prauzek, M., & Musilek, P. (2019). Scan matching by cross-correlation and differential evolution. Electronics, 8(8) doi:10.3390/electronics8080856
• Konecny, J., Prauzek, M., Borova, M., Janosova, K., & Musilek, P. (2019). A simulation framework for energy harvesting in wireless sensor networks: Single node architecture perspective. Proceedings of the 23rd International Conference Electronics 2019, ELECTRONICS 2019, doi:10.1109/ELECTRONICS.2019.8765580
• Lashkari, B., Chen, Y., & Musilek, P. (2019). Energy management for smart homes-state of the art. Applied Sciences, 9(17) doi:10.3390/app9173459
• Prauzek, M., Konecny, J., Vitasek, M., Bajgar, V., & Musilek, P. (2019). Powering batteryless embedded platforms by piezoelectric transducers: A pilot study. Elektronika Ir Elektrotechnika, 25(2), 32-35. doi:10.5755/j01.eie.25.2.23201
• Zhang, S., May, D., Atrazhev, P., Gul, M., Leach, A., Weis, T., & Musilek, P. (2019). ETX: A flexible simulation framework for design of transactive energy systems. Proceedings of the 2019 IEEE Canadian Conference of Electrical and Computer Engineering, CCECE 2019, doi:10.1109/CCECE.2019.8861523

2018

• Mocrii, D., Chen, Y., Musilek, P., IoT-based smart homes: A review of system architecture, software, communications, privacy and security, Internet of Things, 1–2, 2018, pp. 81–98
• Martins, R., Hesse, H., Jungbauer, J., Vorbuchner, T., Musilek, P., Optimal Component Sizing for Peak Shaving in Battery Energy Storage System for Industrial Applications, Energies, 2018, 11, 2048; doi:10.3390/en11082048 (22 pages)
• Karimi, S., Musilek, P., Knight, A.M., Dynamic thermal rating of transmission lines: A review, Renewable and Sustainable Energy Reviews, 2018, 91, pp. 600-612
• Prauzek, M., Konecny, J., Borova, M., Janosova, K., Hlavica, J., Musilek, P., Energy Harvesting Sources, Storage Devices and System Topologies for Environmental Wireless Sensor Networks: A Review, Sensors, 2018, 18(8), 2446; doi10.3390/s18082446 (22 pages)
• M. Bardwell, J. Wong, S. Zhang, P. Musilek. Design Considerations for IoT-based PV Charge Controllers. In IEEE Services 2018 (ICIOT), 2018
• Vanderstar, G., Musilek, P., Nassif, A., Solar Forecasting using Remote Solar Monitoring Stations and Artificial Neural Networks, 31st Annual IEEE Canadian Conference on Electrical and Computer Engineering (CCECE 2018), Québec City, QC, Canada, May 13–16, 2018 (4 pages)
• Prauzek, M., Mourcet, N., Hlavica, J., Musilek, P., Q-learning Algorithm for Energy Management in Solar Powered Embedded Monitoring Systems, IEEE CEC 2018, Rio de Janeiro, Brazil, July 8-13, 2017 (7 pages)
• M. Bardwell, J. Wong, S. Zhang, P. Musilek. IoT-based MPPT Controller for Photovoltaic Array. In IEEE Electric Power and Energy Conference (EPEC), 2018

2017

• Zhang, S., Martins, R., Gul, M, Musilek, P. Economy of Residential Photovoltaic Generation and Battery Energy Storage in Alberta, Canada, 17th IEEE Canada Electrical Power and Energy Conference (EPEC 2017), Oct 22-25, 2017, Saskatoon, SK, Canada (5 pages)
• Truong, C. N., May, D., Martins, R., Musilek, P., Jossen, A., Hesse, H., Cuckoo-Search Optimized Fuzzy-Logic Control of Stationary Battery Storage Systems, 17th IEEE Canada Electrical Power and Energy Conference (EPEC 2017), Oct 22-25, 2017, Saskatoon, SK, Canada (6 pages)
• Al-Thubaiti, M., Bernard, M., Musilek, P., Fuzzy Logic Controller for Hybrid Renewable Energy System with Multiple Types of Storage, 30-th annual IEEE Canadian conference on Electrical and Computer Engineering (CCECE 2017), Windsor, ON, Canada, April 30 – May 3, 2017
• Hesse, H., Naumann, M., Truong, N., Martins, R., Musilek, P., Jossen, A., Economic Assessment and Optimization of Battery Storage Systems for Stationary Applications, Singapore Battery Meeting (SGBM 2017), March 23-24, 2017
• Hesse, H., R. Martins, R., Musilek, P., Truong, N., Naumann, M., Jossen, A., Optimizing Battery Storage Sizing and Dispatch for Use in Stationary Applications, International Renewable Energy Conference (IRES 2017), Duesseldorf, Germany, March 13-16, 2017
• Ezeora, O. S., Heckenbergerova, J. , Musilek, P. , Stochastic model and optimum sampling interval of variables for environmental measurement systems, 18th Int. Conf. on Electric Power Engieering (EPE), May 17-19, 2017, Kouty nad Desnou, Czechia
• Kromer, P., Heckenbergerova, J., Musilek, P., Accurate Mixed Weibull Distribution Fitting by Differential Evolution, The Genetic and Evolutionary Computation Conference (GECCO 2017), Jul 15-19 2017, Berlin, Germany (8 pages)
• Origo, N., Nightingale, J., Sanchez-Azofeifa, A., Musilek, P., Disney, M., Calders, K., Towards traceable validation of fraction of absorbed photosynthetically active radiation (fAPAR) products derived from Earth Observation (EO), Remote Sensing and Photogrammetry Society Annual Meeting (RSPSoc2017), London, UK, September 5-8, 2017
• Mocrii, D., Chen, Y.,Musilek, P., IoT-based smart homes: A review of system architecture, software, communications, privacy and security, Internet of Things, 1–2, 2018, pp. 81–98
• Martins, R., Hesse, H., Jungbauer, J., Vorbuchner, T., Musilek, P., Optimal Component Sizing for Peak Shaving in Battery Energy Storage System for Industrial Applications, Energies, 2018, 11, 2048; doi:10.3390/en11082048 (22 pages)
• Karimi, S., Musilek, P., Knight, A.M., Dynamic thermal rating of transmission lines: A review, Renewable and Sustainable Energy Reviews, 2018, 91, pp. 600-612
• Prauzek, M., Konecny, J., Borova, M., Janosova, K., Hlavica, J., Musilek, P., Energy Harvesting Sources, Storage Devices and System Topologies for Environmental Wireless Sensor Networks: A Review, Sensors, 2018, 18(8), 2446; https://doi.org/10.3390/s18082446 (22 pages)
• J. Schlauwitz and P. Musilek, “Demonstration of a primitive dissipating-predictive-state planning actor-critic in a game of cat and mouse,” 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Banff, AB, 2017, pp. 1764-1769.doi: 10.1109/SMC.2017.8122871

2016

• Rodway, J., Musilek, P., Wireless Sensor Networks with Pressure-Based Energy Forecasting: A Simulation Study, 29th IEEE Canadian Conference on Electrical and Computer Eng (CCECE 2016), Vancouver, BC, 15-18 May, 2016
• Ezeora, O. S., Heckenbergerova, J., Musilek, P., Rodway, J., Sampling control in environmental monitor- ing systems using recurrent neural networks, 29th IEEE Canadian Conference on Electrical and Computer Eng (CCECE 2016), Vancouver, BC, 15-18 May, 2016
• Martins, R. C., Musilek, P., Optimization of Neighborhood Power Self-Consumption using Genetic Algorithm, 2016 IEEE Congress on Evolutionary Computation (IEEE CEC 2016), Vancouver, BC, 25-29 July, 2016
• Schlauwitz, J., Musilek, P., Smart Renewable Energy Management System for Consumer Applications, 2016 IEEE Congress on Evolutionary Computation (IEEE CEC 2016), Vancouver, BC, 25-29 July, 2016
• Barton, T., Musilek, P., Derivative based prediction with look ahead, 2016 International Joint Conference on Neural Networks (IJCNN 2016), Vancouver, BC, 25-29 July, 2016
• Rodway, J., Kromer, P., S. Karimi, Musilek, P., Differential Evolution Optimized Fuzzy Controller for Wireless Sensor Network Energy Management, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), Vancouver, BC, 25-29 July, 2016
• Karimi, S., Knight, A., Musilek, P., A Comparison between Fuzzy and Probabilistic Estimation of Dynamic Thermal Rating of Transmission Lines, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), Vancouver, BC, 25-29 July, 2016
• Zhang, S., Musilek, P., User-centric Energy Management for the Smart Grid, 16 IEEE International Conference on Environment and Electrical Engineering (EEEIC 2016), Florence, Italy 7-10 June, 2016
• Rodway, J., Musilek, P., Harvesting-aware Energy Management for Environmental Monitoring WSN, 16 IEEE International Conference on Environment and Electrical Engineering (EEEIC 2016), Florence, Italy 7-10 June, 2016
• Martins, R. C., Musilek, P., Optimization of Neighborhood Power Self-Consumption using Linear Programming, 16 IEEE International Conference on Environment and Electrical Engineering (EEEIC 2016), Florence, Italy 7-10 June, 2016
• Al Safar, M., Musilek, P., Fuzzy Logic Controller for Large Grid-Integrated Wind Farm under Variable Wind Speed, 17th International Scientific Conference on Electric Power Engineering (EPE 2016), Prague, Czech Republic, May 16-18, 2016
• Ezeora, O. S., Heckenbergerova, J., Musilek, P., Improving Energy Efficiency of Analog-to-digital Converters in Environmental Monitoring Systems, 17th International Scientific Conference on Electric Power Engineering (EPE 2016), Prague, Czech Republic, May 16-18, 2016
• Lozowski, E., Maw, S., Kleiner, B., Szilder, K., Shegelski, M., Musilek, P., Ferguson, D., Comparison of IMU measurements of curling stone dynamics with a new numerical model, 11th conference of the International Sports Engineering Association, Delft, Greece 11-14 July, 2016
• Janata, J., Heckenbergerova, J., Musilek, P.,, Sensitivity analysis of PCA method for wind ramp event detection, 16 IEEE International Conference on Environment and Electrical Engineering (EEEIC 2016), Florence, Italy 7-10 June, 2016
• Ezeora, O. S., Heckenbergerova, J., Musilek, P., Rodway, J., A new adaptive sampling method for energy-efficient measurement of environmental parameters, 16 IEEE International Conference on Environment and Electrical Engineering (EEEIC 2016), Florence, Italy 7-10 June, 2016
• Karimi, S., Knight, A., Musilek, P., Heckenbergerova, J., A Probabilistic Estimation for Dynamic Thermal Rating of Transmission Lines, 16 IEEE International Conference on Environment and Electrical Engineering (EEEIC 2016), Florence, Italy 7-10 June, 2016
• Prauzek, M., Kromer, P., Rodway, J., Musilek, P., Differential Evolution of Fuzzy Controller for Environmentally-powered Wireless Sensors. Applied Soft Computing, 48 (Nov), 2016, pp. 193-206.
• Konecny, J., Prauzek, P., Kromer, P., Musilek, P., Novel Point to Point Scan Matching Algorithm Based on Cross-correlation, Mobile Information Systems. Ar. no. 6463945.
• Hlavica, J, Prauzek M, Peterek T, Musilek, P., Assessment of Parkinson’s Disease Progression Using Neural Network and ANFIS Models, Neural Network World, 26(2), 2016, pp. 111-128.