Dr. Naveed Arshad is a Professor and Director of the National Center in Big Data and Cloud Computing, and Director of the Energy Institute at LUMS. His research interests include energy, climate informatics, and electric vehicles. Dr. Arshad has published nearly seventy research articles in top international journals and conferences. Additionally, Dr. Arshad has authored many reports and white papers on advocacy and evidence-based policy recommendations. He co-founded multiple start-up companies in big data, energy analytics, and electric vehicles. He is serving on the Board of Directors of National Transmission and Despatch Company and has previously served on the Board of Directors of public sector SoEs. Dr. Arshad holds an MS and PhD from the University of Colorado at Boulder.
| Title | Publication | Author | Year |
|---|---|---|---|
| Identification and quantification of degradation modes in lithium-ion battery cells under dynamic load conditions using equivalent circuit and physics-based models | Journal of Power Sources | Kharal A.Y., Khalid M., Naqvi I.H., Arshad N., | 2025 |
| Assessing the Impact of Climate Change on Long Term Load Forecasting for Electric Utilities | Energy Proceedings | Shams N., Ahmad A., Arshad N., | 2025 |
| Multi-objective optimization of battery swapping station to power up mobile and stationary loads | Applied Energy | Gull M.S., Khalid M., Arshad N., | 2024 |
| Sustainable energy transition optimization through decentralized hybrid energy systems with various energy storage technologies under multi-criterion indices: A mid-career repowering scenarios | Journal of Energy Storage | Khan S.N., Abdullah M.A., Nadeem A., Arshad N., | 2024 |
| Graph Convolutional Networks based short-term load forecasting: Leveraging spatial information for improved accuracy | Electric Power Systems Research | Mansoor H., Gull M.S., Rauf H., Shaikh I.U.H., Khalid M., Arshad N., | 2024 |
| Improving Grid Resiliency with Active Management of Electric Vehicles Charging in Low Voltage Distribution Network | IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024 | Nazir H.A., Iftikhar M.Z., Khan S.N., Arshad N., Jamal M.Y., | 2024 |
| Degradation Mode Quantification and Analysis of Lithium-ion Battery Cell Over Dynamic Load Profile and Different State of Charge Conditions | 2024 IEEE 34th Australasian Universities Power Engineering Conference, AUPEC 2024 | Kharal A.Y., Khalid M., Hamanah W.M., Naqvi I.H., Arshad N., | 2024 |
| Developing a Multipurpose Battery Swapping Station to Energize Mobile and Stationary Loads | Energy Proceedings | Gull M.S., Rauf H., Arshad N., Khalid M., | 2024 |
| Bayesian Optimized Supervised Learning for Short-Term Net Load Forecasting in Distribution Grids with Net-Metering | 2024 IEEE 34th Australasian Universities Power Engineering Conference, AUPEC 2024 | Haseeb A., Khan S.N., Arshad N., Waseem M., Islam M.R., Hossain M.J., Biswas S.P., | 2024 |
| Short-Term Load Forecasting Using AMI Data | IEEE Internet of Things Journal | Mansoor H., Ali S., Khan I.U., Arshad N., Khan M.A., Faizullah S., | 2023 |
| A novel smart feature selection strategy of lithium-ion battery degradation modelling for electric vehicles based on modern machine learning algorithms | Journal of Energy Storage | Rauf H., Khalid M., Arshad N., | 2023 |
| Evaluation of single-phase net metering to meet renewable energy targets: A case study from Pakistan | Energy Policy | Tahir M.U., Siraj K., Ali Shah S.F., Arshad N., | 2023 |
| Lowering Weighted Average Cost of Generation by Optimizing Operating Time: A Study from Pakistan | 1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Proceedings | Khan H.O.A., Ahmad A., Arshad N., Nadeem A., | 2023 |
| Performance Evaluation of Low Sampling Rates in Event Detection and Appliance Recognition in Non-Intrusive Load Monitoring System | Proceedings - 2023 IEEE 5th Global Power, Energy and Communication Conference, GPECOM 2023 | Javaid S., Nadeem A., Abdullah M.A., Arshad N., | 2023 |
| Novel Feature Selection Strategy for Cyclic Loss Prediction of Lithium-ion Electric Vehicle Battery | IEEE Power and Energy Society General Meeting | Rauf H., Khalid M., Arshad N., Pecht M., | 2023 |
| Optimizing Renewable Energy Integration for a Sustainable and Resilient Power Sector: Insight Form LPDM Analysis | 12th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2023 | Khan H.O.A., Chaudhry T.M., Afaq U., Rauf H., Arshad N., | 2023 |
| Smart Feature Selection-Based Machine Learning Framework for Calendar Loss Prediction of Li-Ion Electric Vehicle Battery | 12th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2023 | Rauf H., Gul M.S., Khalid M., Arshad N., | 2023 |
| Spatio-Temporal Short Term Load Forecasting Using Graph Neural Networks | 12th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2023 | Mansoor H., Shabbir M., Ali M.Y., Rauf H., Khalid M., Arshad N., | 2023 |
| Using Clustering to Reduce Models Required for Medium Term Load Forecasting | Proceedings of the International Conference on Optimisation of Electrical and Electronic Equipment, OPTIM | Arif A., Nadeem A., Arshad N., | 2023 |
| PINN with Memory: A Novel Methodology for State of Charge Estimation of Lithium-ion Batteries Under Dynamic Load Profile | IEEE PES Innovative Smart Grid Technologies Conference Europe | Kharal A.Y., Naqvi I.H., Arshad N., | 2023 |
| Optimization of the battery swapping station to power up mobile and stationary loads | e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems | Gull M.S., Arshad N., | 2022 |
| Machine learning in state of health and remaining useful life estimation: Theoretical and technological development in battery degradation modelling | Renewable and Sustainable Energy Reviews | Rauf H., Khalid M., Arshad N., | 2022 |
| Soft Load Shedding Based Demand Control of Residential Consumers | Electronics (Switzerland) | Gull M.S., Mehmood N., Rauf H., Khalid M., Arshad N., | 2022 |
| Estimating Battery State of Health using Machine Learning | 2022 10th International Conference on Smart Grid and Clean Energy Technologies, ICSGCE 2022 | Arif A., Hassaan M., Abdullah M., Nadeem A., Arshad N., | 2022 |
| A data-driven approach to reduce electricity theft in developing countries | Utilities Policy | Nadeem A., Arshad N., | 2021 |
