Dr. Naveed Arshad is presently Associate Professor and Director of the National Center in Big Data and Cloud Computing (NCBC) at Lahore University of Management Sciences. He is also the founder of Energy Informatics Group (EIG) and Co-Director of LUMS Energy Institute.

His research interests include energy and climate informatics; short-, medium- and long-term forecasting of energy demand, renewable energy generation forecasting for wind and solar resources, demand side management in electric transportation, agricultural, residential, and industrial sectors, energy efficiency, and renewable energy integration in existing building stock.

Dr. Arshad has published close to sixty research articles in top international journals and conferences. He has also authored PRECON, the most comprehensive open residential energy data collection in the world. He is the co-founder of multiple start-up companies in big data, energy analytics and electric vehicle domains. In addition to publishing in top ranked journals and conferences, Dr. Arshad has also authored many reports and white papers for advocacy and evidence-based policy recommendations.

Dr. Arshad has served as consultant to USAID, World Bank Group, GIZ, Energy Department, Hyundai Research, Fatima Group, CPPA and many other national and international agencies.

Title Publication Author Year
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
Developing a Multipurpose Battery Swapping Station to Energize Mobile and Stationary Loads Energy Proceedings Gull M.S., Rauf H., Arshad N., Khalid M., 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
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
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
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
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
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
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
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
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
Does Pakistan have enough electricity generation to support massive penetration of electric vehicles? 2021 IEEE Texas Power and Energy Conference, TPEC 2021 Iqbal A., Nadeem A., Arslan M.M., Javed M.A., Arshad N., 2021
Fair Allocation Based Soft Load Shedding Advances in Intelligent Systems and Computing Ali S., Mansoor H., Khan I., Arshad N., Faizullah S., Khan M.A., 2021
Past Vector Similarity for Short Term Electrical Load Forecasting at the Individual Household Level IEEE Access Mansoor H., Rauf H., Mubashar M., Khalid M., Arshad N., 2021
Modelling Residential-Scale Consumer Demographics using Monthly Electricity Consumption Data 2021 IEEE Electrical Power and Energy Conference, EPEC 2021 Rahman A., Arif A., Nadeem A., Arshad N., 2021
Propelling the Penetration of Electric Vehicles in Pakistan by Optimal Placement of Charging Stations ??? Engineering Proceedings Khan H.O.A., Saeed F., Arshad N., 2021
Complementing hydroelectric power with floating solar PV for daytime peak electricity demand Renewable Energy Rauf H., Gull M.S., Arshad N., 2020