| Cuckoo-search optimized fuzzy-logic control of stationary battery storage systemsT06-P02 University of Alberta | Publication | 2017-01-01 | Cong Nam Truong, Daniel May, Rodrigo Martins, Musilek, P., Andreas Jossen, Holger C Hesse | T06-P02 |
| Intelligent Technology Stack for Integration of Distributed Energy Resources, Shaping the Future of EnergyT06-P02 University of Alberta | Activity | 2018-11-05 | | T06-P02 |
| T-REX: Transactive Renewable Energy eXchangeParticipation in Energy.AI^3 Accelerator - a workshop organized by the Energy Futures Lab T06-P02, T06-Q01, T06-F01 University of Alberta | Activity | 2019-10-01 | Musilek, P., Daniel May, Peter Atrazhev, Steven (Shida) Zhang | T06-P02, T06-Q01, T06-F01 |
| ETX: A Flexible Simulation Framework for Design of Transactive Energy SystemsS. ZHANG, D. MAY, P. ATRAZHEV, M. Gul, A. LEach, T. Weis, P. Musilek, ETX: A Flexible Simulation Framework for Design of Transactive Energy Systems, 32nd IEEE Canadian Conference of Electrical and Computer Engineering (CCECE 2019), Edmonton, AB, Canada, May 5-8, 2019T06-P02, T06-Q01 University of Alberta | Publication | 2019-05-05 | Steven (Shida) Zhang, Daniel May, Peter Atrazhev, Musilek, P. | T06-P02, T06-Q01 |
| Forecasting Photovoltaic Power Production using a Deep Learning Sequence to Sequence Model with AttentionT06-P02 University of Alberta | Publication | 2020-05-07 | | T06-P02 |
| Flexibility Platform for Community Energy SystemsT06-P02 University of Alberta | Publication | 2020-05-07 | | T06-P02 |
| Economy of residential photovoltaic generation and battery energy storage in Alberta, CanadaT06-P02 University of Alberta | Publication | 2017-01-01 | | T06-P02 |
| IoT-based MPPT Controller for Photovoltaic ArrayOctober 10-11, 2018T06-P02 University of Alberta | Publication | 2019-04-24 | Michael Bardwell, Jason Wong, Steven (Shida) Zhang, Musilek, P. | T06-P02 |
| Techniques for power system impedance measurementS. Zhang, “Techniques for power system impedance measurement”, M.Sc. thesis, Jan 2020T06-P02 | Publication | 2020-01-13 | Steven (Shida) Zhang | T06-P02 |
| Assessment of Photovoltaic Hosting Capacity of Existing Distribution CircuitsM. AL-SAFFAR, S. ZHANG, A. B. Nassif, P. Musilek, Assessment of Photovoltaic Hosting Capacity of Existing Distribution Circuits, 32nd IEEE Canadian Conference of Electrical and Computer Engineering (CCECE 2019), Edmonton, AB, Canada, May 5-8, 2019T06-P02 University of Alberta | Publication | 2019-05-05 | Mohammed Abd Ali Aziz Al-Saffar, Steven (Shida) Zhang, "Alexandre Nassif ", Musilek, P. | T06-P02 |
| Design Considerations for IoT -Based PV Charge ControllersT06-P02 University of Alberta | Publication | 2018-07-01 | Michael Bardwell, Jason Wong, Steven (Shida) Zhang, Musilek, P. | T06-P02 |
| The Impact of Battery Storage on Power Flow and Economy in an Automated Transactive Energy MarketT06-P02 University of Alberta | Publication | 2023-02-26 | | T06-P02 |
| Vanadium Redox Flow Batteries: A Review of Use Cases for Microgrids and Comparison with Other TechnologiesT06-F01 University of Alberta | Publication | 2020-03-31 | | T06-F01 |
| Market progress of the Vanadium Redox Flow Battery technology: overview of the market developmentT06-F01 University of Alberta | Publication | 2019-07-01 | | T06-F01 |
| Optimal real-time scheduling of battery operation using reinforcement learningT06-F01 University of Alberta | Publication | 2021-09-01 | | T06-F01 |
| A High-Resolution Reflective Microwave Planar Sensor for Sensing of Vanadium Electrolyte, Sensors T06-F01 University of Alberta | Publication | 2021-05-13 | | T06-F01 |
| Comparative Analysis of Machine Learning Techniques for Temperature Compensation in Microwave SensorsT06-F01 University of Alberta | Publication | 2021-05-13 | | T06-F01 |
| Comparative Analysis of Machine Learning Techniques for Temperature Compensation in Microwave Sensors, IEEE Transactions on Microwave Theory and TechniquesT06-P02, T01-F01 University of Alberta | Publication | 2021-09-15 | | T06-P02, T01-F01 |
| Sensors - Editor’s Choice for paper entitled “A High-Resolution Reflective Microwave Planar Sensor for Sensing of Vanadium Electrolyte"Paper entitled “A High-Resolution Reflective Microwave Planar Sensor for Sensing of Vanadium Electrolyte"T06-F01 University of Alberta | Award | 2021-12-15 | | T06-F01 |
| A comparative study of reinforcement learning algorithms for distribution network reconfiguration with deep Q-learning-based action samplingT06-P02 University of Alberta | Publication | 2023-02-08 | | T06-P02 |
| Distribution Grid Fault Classification and Localization using Convolutional Neural NetworksT06-P02 University of Alberta | Publication | 2024-05-18 | | T06-P02 |
| Time Series Forecasting using Sequence Models with AttentionT06-P02 | Publication | 2021-01-01 | Elizaveta Kharlova | T06-P02 |
| VRF Battery Characterization Using Microwave Planar Complementary Split Ring ResonatorsT06-P02 University of Alberta | Activity | 2021-09-12 | | T06-P02 |
| State of Charge and Capacity Tracking in Vanadium Redox Flow Battery SystemsK. Schofield, P. Musilek, State of Charge and Capacity Tracking in Vanadium
Redox Flow Battery Systems, Clean Technologies, 2022; 4(3):607-618.T06-P02 University of Alberta | Publication | 2022-06-28 | | T06-P02 |
| Real-time Anomaly Detection in Distribution Grids using Long Short Term Memory21th IEEE Canada Power and Energy Conference (EPEC2021), Toronto, Ontario, Canada, October 22-1 & 30-31, 2021 University of Alberta | Activity | 2021-10-22 | | |
| Anomaly Detection in Smart Distribution Grids with Deep Neural NetworkT06-P01 | Publication | 2022-01-01 | Ming Zhou | T06-P01 |
| A Comprehensive Review of Blockchain Consensus MechanismsSince the advent of distributed ledger technologies, they have provided diverse opportunities in a wide range of application domains. This article brings a comprehensive review of the fundamentals of distributed ledger and its variants. Analyzing 185 publications, ranging from academic journals to industry websites, it provides a comparative analysis of 130 consensus algorithms using a novel architectural classification. The distribution of the reviewed algorithms is analyzed in terms of the proposed classification and different application domains, along with the applicability of each class among the top 10 platforms in the most prominent blockchain application domains. Additional conclusions are drawn from the evolution of consensus mechanisms, and the analysis concludes envisaging future prospects for consensus as an important part of distributed ledger technology.T06-Q01 University of Alberta | Publication | 2021-03-12 | | T06-Q01 |
| Detection and Analysis of Ethereum Energy Smart ContractsT06-P02 University of Alberta | Publication | 2023-05-14 | | T06-P02 |
| Evaluation of Smart Contract Vulnerability Analysis Tools: A Domain-Specific PerspectiveT06-P02 University of Alberta | Publication | 2023-09-29 | | T06-P02 |
| Federated learning with hyperparameter-based clustering for electrical load forecasting, Internet of ThingsT06-P02 University of Alberta | Publication | 2022-03-08 | | T06-P02 |
| Lefsrud, L.M., Hussain, A.*, Gholizadeh, N.*, Sattari, F.*, Musilek, P., Liang, H. 2021. Creating System Resilience in Power Generation and DeliveryT05-P04 University of Alberta | Activity | 2021-11-08 | Lianne Michelle Lefsrud, Nastaran Gholizadeh, Musilek, P. | T05-P04 |
| Deep Reinforcement Learning-based Operation of Transmission Battery Storage with Dynamic Thermal Line RatingIt is well known that dynamic thermal line rating has the potential to use power transmission infrastructure more effectively by allowing higher currents when lines are cooler; however, it is not commonly implemented. Some of the barriers to implementation can be mitigated using modern battery energy storage systems. This paper proposes a combination of dynamic thermal line rating and battery use through the application of deep reinforcement learning. In particular, several algorithms based on deep deterministic policy gradient and soft actor critic are examined, in both single- and multi-agent settings. The selected algorithms are used to control battery energy storage systems in a 6-bus test grid. The effects of load and transmissible power forecasting on the convergence of those algorithms are also examined. The soft actor critic algorithm performs best, followed by deep deterministic policy gradient, and their multi-agent versions in the same order. One-step forecasting of the load and ampacity does not provide any significant benefit for predicting battery action.T06-P05 University of Alberta | Publication | 2022-11-29 | "Vadim Avkhimenia ", Matheus Mingatos Fernandes Gemignani, Tim Weis, Musilek, P. | T06-P05 |
| Deep Learning Control of Transmission System with Battery Storage and Dynamic Line RatingT06-P02 University of Alberta | Publication | 2023-02-07 | "Avkhimenia, V. ", Matheus Mingatos Fernandes Gemignani, Musilek, P., Tim Weis | T06-P02 |
| Ant-based optimal tuning of PID controllers for load frequency control in power systemsT06-P02 University of Alberta | Publication | 2017-01-01 | | T06-P02 |
| LP-based predictive energy management system for residential PV/BESST06-P02 University of Alberta | Publication | 2017-01-01 | | T06-P02 |
| Optimal energy management of residential PV/HESS using evolutionary fuzzy controlT06-P02 University of Alberta | Publication | 2017-01-01 | Musilek, P., Pavel Krö mer, Rodrigo Castro Martins, Holger C Hesse | T06-P02 |
| Economic optimization of component sizing for residential battery storage systemsT06-P02 University of Alberta | Publication | 2017-06-22 | Holger C Hesse, Rodrigo Castro Martins, Musilek, P., Maik Naumann, Cong Nam Truong, Andreas Jossen | T06-P02 |
| Towards A Scalable DAG-based Distributed Ledger for Smart CommunitiesIn recent years, Distributed Ledger Technology (DLT) has been playing a more and more important role in building trust and security for Internet of Things (IoT). However, the unacceptable performance of the current mainstream DLT systems such as Bitcoin can hardly meet the efficiency and scalability requirements of IoT. In this paper, we propose a scalable transactive smart homes infrastructure by leveraging a Directed Acyclic Graph (DAG) based DLT and following the separation of concerns (SOC) design principle. Based on the proposed solution, an experiment with 40 Home Nodes is conducted to prove the concepts. From the results, we find that our solution provides a high transaction speed and scalability, as well as good performance on security and micropayment which are important in IoT settings. Then, we conduct an analysis and discuss how the new system breaks out the well-known Trilemma, which claims that it is hard for a DLT platform to simultaneously reach decentralization, scalability and security. Finally, we conclude that the proposed DAG-based distributed ledger is an effective solution for building an IoT infrastructure for smart communities.T06-Q01 University of Alberta | Publication | 2019-02-01 | Caixiang (Stephen) Fan, Sara Ghaemi, Hamzeh Khazaei, Musilek, P. | T06-Q01 |
| Dependable and Autonomic Computing Platform for Managing Transactive MicrogridsThis a poster in which we outlined the objective of the project and initial literature review that we had done.T06-Q01 University of Alberta | Activity | 2018-10-02 | | T06-Q01 |
| Data-Driven Methods in Electric Power SystemsIEEE Artificial Intelligence Applications to Power Systems WorkshopT06-P02 University of Alberta | Activity | 2018-09-05 | | T06-P02 |
| Intelligent Methods for Design, Analysis and Operation of Modern Electric Power Systems Analysis and Operation of Modern Electric Power Systems
September 18-20, 2018T06-P02 University of Alberta | Activity | 2018-09-28 | | T06-P02 |
| EPCOR/UofA Distributed Energy Resource Integration StudyT06-P02 University of Alberta | Activity | 2018-10-04 | | T06-P02 |
| Artificial Intelligence and Future Energy Systems (mini-keynote) T06-P02 University of Alberta | Activity | 2018-09-27 | | T06-P02 |
| IoT-based smart homes: A review of system architecture, software, communications, privacy and security, Internet of ThingsT06-P02 University of Alberta | Publication | 2019-04-24 | | T06-P02 |
| Powering Batteryless Embedded Platforms by Piezoelectric Transducers: A Pilot StudyT06-P02 University of Alberta | Publication | 2019-04-24 | "M. Prauzek ", "J. Konecny ", "M. Vitasek ", "V. Bajgar ", Musilek, P. | T06-P02 |
| A Dynamic Thermal rating of Transmission lines: A reviewT06-P02 University of Alberta | Publication | 2019-04-24 | | T06-P02 |
| Optimal Component Sizing for Peak Shaving in Battery Energy Storage System for Industrial ApplicationsT06-P02 University of Alberta | Publication | 2019-04-24 | Rodrigo Castro Martins, "H. Hesse ", "J. Jungbauer ", "T. Vorbuchner ", Musilek, P. | T06-P02 |
| Energy Harvesting Sources, Storage Devices and System Topologies for Environmental Wireless Sensor Networks: A reviewT06-P02 University of Alberta | Publication | 2019-04-24 | "M. Prauzek ", "J. Konecny ", "M. Borova ", "K. Janosova ", "J. Hlavica ", Musilek, P. | T06-P02 |
| Modelling Hourly Vehicle Flows by a Finite Mixture of Simple Circular Normal DistributionsNovember 4-7, 2018T06-P02 University of Alberta | Publication | 2019-04-24 | Musilek, P., "P. Kromer ", "M. Hasal ", "J. Nowakova ", "J. Heckenbergerova " | T06-P02 |
| Solar Forecasting using Remote Solar Monitoring Stations and Artifical Neural NetworksMay 13-16, 2018T06-P02 University of Alberta | Publication | 2019-04-24 | | T06-P02 |
| Q-Learning Algorithm for Energy management in Solar Powered Embedded Monitoring SystemsJuly 8-13, 2018T06-P02 University of Alberta | Publication | 2019-04-24 | | T06-P02 |
| Land-Product validation of the MODIS derived FAPAR product over the tropical dry-forest of Santa Rosa National Park, Guanacaste, Costa Rica April 8-13, 2018T06-P02 University of Alberta | Publication | 2019-04-24 | | T06-P02 |
| Energy Management for Smart Homes - State of the ArtLashkari, B., Chen, Y., Musilek, P., Energy Management for Smart Homes - State of the Art,
Applied Sciences 2019, 9(17), 3459; https://doi.org/10.3390/app9173459T06-P02 University of Alberta | Publication | 2019-08-01 | | T06-P02 |
| Reinforcement Learning based Distributed BESS Management for Mitigating Overvoltage Issues in Systems with High PV PenetrationAl-Saffar, M., Musilek, P., Reinforcement Learning based Distributed BESS Management for Mitigating Overvoltage Issues in Systems with High PV Penetration, IEEE Transactions on Smart Grid, 10.1109/TSG.2020.2972208T06-P02 University of Alberta | Publication | 2020-01-30 | | T06-P02 |
| Quantile Regression and Clustering Models of Prediction Intervals for Weather Forecasts: A Comparative StudyZarnani, A., Karimi, S., Musilek, P., Quantile Regression and Clustering Models of Prediction Intervals for Weather Forecasts: A Comparative Study. Forecasting 2019, 1, 169-188T06-P02 University of Alberta | Publication | 2019-10-24 | | T06-P02 |
| Enhancing Power Flow Simulations Using Function MappingM. Bardwell, P. Musilek, Enhancing Power Flow Simulations Using Function Mapping, 32nd IEEE Canadian Conference of Electrical and Computer Engineering (CCECE 2019), Edmonton, AB, Canada, May 5-8, 2019T06-P02 University of Alberta | Publication | 2019-05-05 | | T06-P02 |
| Day-Ahead Dynamic Thermal Line Rating Using Numerical Weather PredictionT. BARTON, P. Musilek, Day-Ahead Dynamic Thermal Line Rating Using Numerical Weather
Prediction, 32nd IEEE Canadian Conference of Electrical and Computer Engineering (CCECE
2019), Edmonton, AB, Canada, May 5-8, 2019 T06-P02 University of Alberta | Publication | 2019-05-05 | | T06-P02 |
| Senior Research FellowshipRWTH Aachen Senior Research Fellowship, Institute of Automation of Complex Power Systems, E.ON Research
Center, RWTH Aachen, GermanyT06-P02, T06-Q01 University of Alberta | Award | 2019-07-01 | | T06-P02, T06-Q01 |
| Editor's ChoiceArticle "R. Martins, H. C. Hesse, J. Jungbauer, T. Vorbuchner and P. Musilek, Optimal Component Sizing for Peak Shaving in Battery Energy Storage System for Industrial Applications, Energies 2018, 11(8), 2048; https://doi.org/10.3390/en11082048" has been selected as [Feature Paper] and [Editor's Choice]T06-P02 University of Alberta | Award | 2019-06-01 | Rodrigo Castro Martins, Holger C Hesse, "Johanna Jungbauer ", "Thomas Vorbuchner ", Musilek, P. | T06-P02 |
| FellowshipT06-P02, T06-Q01, T06-F01 University of Alberta | Award | 2020-01-14 | | T06-P02, T06-Q01, T06-F01 |
| Distributed Optimal Power Flow for Electric Power Systems with High Penetration of Distributed Energy Resources University of Alberta | Publication | 2019-05-05 | | |
| Performance Evaluation of Blockchain Systems: A Systematic SurveyIn this paper, we conduct a systematic survey on the blockchain performance evaluation, trying to cover all existing blockchain evaluation studies. We classify all reviewed solutions into two general types, which are empirical analysis and analytical modelling.T06-Q01 University of Alberta | Publication | 2020-05-01 | Caixiang (Stephen) Fan, Sara Ghaemi, Hamzeh Khazaei, Musilek, P. | T06-Q01 |
| Predicting Weather-related Power Outages in Distribution GridImprovements in monitoring and data collection practices provide opportunities for more comprehensive modelling and managing grid operations. At the same time, advanced data analysis methods should be able to address service quality degradation due to outages, weather patterns and asset-related performance.In this paper, we apply Machine Learning and Computational Intelligence methods for the analysis of power distribution system data and constructing a system for predicting power outages. Weather and outage data are utilized by the proposed system for predicting purposes. We evaluate the prediction performance of different types of prediction models. We also propose and validate three different architectures of a system for predicting types of weather-related outages. We focus on outages caused by wind, snow and ice. An analysis of the prediction results is provided.T06-P02 University of Alberta | Publication | 2020-12-16 | | T06-P02 |
| GridKG: Knowledge Graph Representation of Distribution Grid DataDistribution grid systems are complex networks containing multiple pieces of equipment. All of them interconnected, and all of them described a variety of pieces of information. A knowledge graph provides an interesting data format that allows us to represent information in a form of graphs, i.e., nodes and edges - relations between them. In this paper, we describe an application of a knowledge graph to represent information about a power grid. We show the main components of such a graph - called GridKG, a simple process of identifying electrical paths, and a few examples of grid analysis related to primary switches.T06-P02 University of Alberta | Publication | 2021-01-18 | | T06-P02 |
| Towards Future Interconnected Electricity SystemT06-P02 University of Alberta | Activity | 2020-12-17 | | T06-P02 |
| Distributed Optimization for Distribution Grids With Stochastic DER Using Multi-Agent Deep Reinforcement LearningThis article develops a special decomposition methodology for the traditional optimal power flow which facilitates optimal integration of stochastic distributed energy resources in power distribution systems. The resulting distributed optimal power flow algorithm reduces the computational complexity of the conventional linear programming approach while avoiding the challenges associated with the stochastic nature of the energy resources and loads. It does so using machine learning algorithms employed for two crucial tasks. First, two proposed algorithms, Dynamic Distributed Multi-Microgrid and Monte Carlo Tree Search based Reinforcement Learning, constitute dynamic microgrids of network nodes to confirm the electric power transaction optimality. Second, the optimal distributed energy resources are obtained by the proposed deep reinforcement learning method named Multi Leader-Follower Actors under Centralized Critic. It accelerates conventional linear programming approach by considering a reduced set of resources and their constraints. The proposed method is demonstrated through a real-time balancing electricity market constructed over the IEEE 123-bus system and enhanced using price signals based on distribution locational marginal prices. This application clearly shows the ability of the new approach to effectively coordinate multiple distribution system entities while maintaining system security constraints.T06-P02 University of Alberta | Publication | 2021-04-23 | | T06-P02 |
| Robust Sizing of Solar-Powered Charging Station with Co-located Energy StorageT06-P07 University of Alberta | Publication | 2022-10-27 | | T06-P07 |
| Construction and Application of Distribution Grid Knowledge GraphT06-P02 University of Alberta | Publication | 2017-01-01 | | T06-P02 |
| Visiting student (Incoming)T06-P02 University of Alberta | Activity | 2021-10-01 | | T06-P02 |
| Editor’s Choice ArticleT06-P02 University of Alberta | Award | 2022-03-08 | | T06-P02 |
| Real-time battery optimal operation with neural networks, Canadian Conference of Electrical and Computer Engineering (CCECE 2021)T06-P02 University of Alberta | Activity | 2021-09-12 | | T06-P02 |
| A Game-Theoretic Approach for Charging Demand Management of Electric Vehicles During System Overload21th IEEE Canada Power and Energy Conference (EPEC2021), Toronto, Ontario, Canada, October 22-1 & 30-31, 2021T06-P02 University of Alberta | Activity | 2021-10-22 | | T06-P02 |
| Generation of Synthetic Ampacity and Electricity Pool Prices Using Generative Adversarial Networks21th IEEE Canada Power and Energy Conference (EPEC2021), Toronto, Ontario, Canada, October 22-1 & 30-31, 2021
T06-P02 University of Alberta | Activity | 2021-10-22 | | T06-P02 |
| Clean Energy Transition in Remote Indigenous Communities: Hydrogen Energy, 2021 IEEE International Humanitarian Technology Conference (IHTC 2021), Dec 2-4, 2021 (virtual)T06-P02 University of Alberta | Activity | 2021-12-02 | | T06-P02 |
| Optimal Design of Overhead Distribution Powerlines using Genetic AlgorithmsT06-P02 University of Alberta | Publication | 2021-07-26 | | T06-P02 |
| Reliability-as-a-Service Usage of Electric Vehicles: Suitability Analysis for Different Types of BuildingsT06-P02 University of Alberta | Publication | 2022-01-19 | | T06-P02 |
| Resilience Enhancement Strategies for and Through Electric Vehicles, Sustainable Cities and SocietyT06-P02 University of Alberta | Publication | 2022-02-25 | | T06-P02 |
| Performance Analysis of the IOTA DAG-Based Distributed LedgerT06-Q01 University of Alberta | Publication | 2021-09-01 | Caixiang (Stephen) Fan, Sara Ghaemi, Hamzeh Khazaei, Yuxiang Chen, Musilek, P. | T06-Q01 |
| Linear Battery Aging Model for Industrial Peak Shaving ApplicationsT06-P02 University of Alberta | Publication | 2018-10-30 | Rodrigo Castro Martins, Musilek, P., Holger C Hesse, "Johanna Jungbauer ", "Thomas Vorbuchner ", "Andreas Jossen " | T06-P02 |
| Home Energy Management with V2X Capability using Reinforcement Learning. T06-P02 University of Alberta | Publication | 2023-06-05 | | T06-P02 |
| Parametric and Nonparametric Modelling for Increasing Power System Reliability: A ReviewT06-P02 University of Alberta | Publication | 2017-01-01 | | T06-P02 |
| RL-based Home Energy Management Agent for V2X ApplicationsT06-P02 University of Alberta | Publication | 2017-01-01 | | T06-P02 |
| CIRED workshop on E-mobility and power distribution systemsT06-P02 University of Alberta | Activity | 2022-06-02 | | T06-P02 |
| 13th IEEE Conference on Innovative Smart Grid Technologies (ISGT 2022)T06-P02 University of Alberta | Activity | 2022-04-24 | | T06-P02 |
| 2022 IEEE PES General Meeting (GM)T06-P02 University of Alberta | Activity | 2022-07-17 | | T06-P02 |
| The Impact of Battery Storage on Power Flow and Economy in an Automated Transactive Energy MarketEditor's ChoiceT06-P02 University of Alberta | Award | 2023-03-31 | | T06-P02 |
| Utility-scale Energy Storage System for Managing EV Load in Connected Distribution CircuitsA. Hussain, K. Gerasimov, P. Musilek, Utility-scale Energy Storage System forManaging EV Load in Connected Distribution Circuits, CIRED workshop on E-mobility and power distribution systems, Paper 0163, Porto, Portugal, 2-3 June 2022T06-P02 University of Alberta | Publication | 2022-06-02 | | T06-P02 |
| A Reward Mechanism for Reliability-as-a-Service Usage of Electric VehiclesA. Hussain, P. Musilek, A Reward Mechanism for Reliability-as-a-Service Usageof Electric Vehicles, 13th IEEE Conference on Innovative Smart Grid Technologies (ISGT 2022), April 24-28, 2022, New Orleans, LAT06-P02 University of Alberta | Publication | 2022-04-24 | | T06-P02 |
| Sizing Transmission-Scale Battery Energy Storage System with Dynamic Thermal Line RatingV. Avkhimenia, T. Weiss, P. Musilek, Sizing Transmission-Scale Battery Energy Storage System with Dynamic Thermal Line Rating, 2022 IEEE PES General Meeting (GM), Denver, Colorado, 17 – 21 July 2022T06-P02, T06-P05 University of Alberta | Publication | 2022-07-17 | | T06-P02, T06-P05 |
| Reinforcement Learning-Driven Local Transactive Energy Market for Distributed Energy Resources,S. Zhang, *D. May, M. Gul, P. Musilek, Reinforcement Learning-Driven Local
Transactive Energy Market for Distributed Energy Resources, Energy and AI, 8,
2022, art. no. 100150T06-P02 University of Alberta | Publication | 2022-05-02 | | T06-P02 |
| Introducing Electric Vehicles to Remote Indigenous Communities: Benefits, Barriers, and Future ProspectsT06-P02 University of Alberta | Publication | 2023-01-05 | | T06-P02 |
| Integrating Knowledge Graphs into Distribution Grid Decision Support SystemsT06-P02 University of Alberta | Publication | 2023-12-20 | | T06-P02 |
| Parametric and Nonparametric Machine Learning Techniques for Increasing Power System Reliability: A ReviewT06-P02 University of Alberta | Publication | 2024-01-11 | | T06-P02 |
| Optimizing High-Voltage Direct Current Transmission Corridors: Dynamic Thermal Line Rating for Enhanced Renewable Generation and Greenhouse Gas Emission ReductionsT06-P02 University of Alberta | Publication | 2024-05-11 | | T06-P02 |
| Electric Vehicle Load Forecasting in Rural Areas: A Systematic ReviewThe growing adoption of electric vehicles, combined with increasing interdependence between urban and rural areas, raises concerns about the resilience of electrical networks, particularly in rural regions where infrastructure is less robust and more limited in complexity. Accurate load forecasting is therefore essential to support effective planning and mitigate potential stress on the grid. This study aims to evaluate and synthesize methodologies for predicting electrical loads generated by electric vehicles in rural areas, with the objective of identifying current practices, data characteristics, and methodological gaps. Following a systematic review approach, the work compiles and analyzes recent literature to provide a structured reference framework for researchers and practitioners. The findings reveal a growing research interest in this field, particularly in Europe and North America, with both model-based and data-driven approaches used in comparable proportions, and short-term forecasting emerging as the most common horizon. However, a lack of standardization in the documentation of network characteristics remains a significant limitation across studies. The review contributes by clarifying the state of research, highlighting critical gaps, and offering guidance for future work. These results underscore the importance of developing standardized criteria for documenting network properties and integrating diverse data sources to enhance the accuracy and applicability of load forecasting in rural distribution networks.T06-A04 University of Alberta | Publication | 2025-10-13 | | T06-A04 |
| A Geospatial Analysis of Public Charging Infrastructure and Electric Vehicle Accessibility in Indigenous CanadaThe electrification of transportation presents significant development opportunities, yet these benefits remain beyond the reach of many Indigenous and remote communities in Canada. While much of the discourse on electric vehicle (EV) adoption focuses on consumer preferences and market readiness, some communities are entirely excluded from the conversation due to physical inaccessibility. Several Indigenous communities lack reliable road access, making EV adoption virtually impossible. Others, despite being road-connected, are located beyond the typical range of most EVs. This study aims to geographically identify Indigenous communities with limited or no access to EV charging infrastructure, highlighting zones of infrastructural exclusion. The findings reveal that unless emerging technologies like EVs are deployed with attention to geographic and infrastructural equity, they risk deepening existing disparities rather than closing the infrastructure gap. Targeted interventions will be essential to ensure a just and inclusive transition to electric mobility across all communities.T06-A04 University of Alberta | Publication | 2025-10-31 | | T06-A04 |
| Fuzzy-Enhanced LSTM Models for Short-Term Load Forecasting: A Case Study of a Tourism-Driven Rural CommunityT06-A04 University of Alberta | Publication | 2025-08-19 | | T06-A04 |
