Dr. Naveed Arshad
Associate Professor
Syed Babar Ali School of Science and Engineering
Dr. Naveed Arshad is presently Associate Professor and Chair of the Computer Science Department at Lahore University of Management Sciences. He is also the Director of Energy Informatics Group (EIG) at LUMS. His research interests include short, medium and long term forecasting of energy demand, renewable energy generation forecasting for wind and solar resources, demand side management in agricultural, residential and industrial sectors, energy efficiency, and renewable energy integration in existing building stock. Dr. Arshad holds MS and PhD in Computer Science from University of Colorado at Boulder.
Google Scholar Page is available at the following link:
https://scholar.google.com.pk/citations?user=jDcSbQYAAAAJ&hl=en
More details of Energy Informatics Group is available at the following link:
| Title | Publication | Author | Year |
|---|---|---|---|
| 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 | 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 | 2022 | |
| Soft Load Shedding Based Demand Control of Residential Consumers | Electronics (Switzerland) | 2022 | |
| A data-driven approach to reduce electricity theft in developing countries | Utilities Policy | 2021 | |
| Does Pakistan have enough electricity generation to support massive penetration of electric vehicles? | 2021 IEEE Texas Power and Energy Conference, TPEC 2021 | 2021 | |
| Past Vector Similarity for Short Term Electrical Load Forecasting at the Individual Household Level | IEEE Access | 2021 | |
| Past Vector Similarity for Short Term Electrical Load Forecasting at the Individual Household Level | IEEE Access | 2021 | |
| Fair Allocation Based Soft Load Shedding | Advances in Intelligent Systems and Computing | 2021 | |
| Modelling Residential-Scale Consumer Demographics using Monthly Electricity Consumption Data | 2021 IEEE Electrical Power and Energy Conference, EPEC 2021 | 2021 | |
| Complementing hydroelectric power with floating solar PV for daytime peak electricity demand | Renewable Energy | 2020 | |
| Economic and Environmental Impact of Vehicle-to-Grid (V2G) Integration in an Intermittent Utility Grid | 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020 | 2020 | |
| Interval forecasting of hourly electricity spot prices using rolling window based gaussian process regression | 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020 | 2020 | |
| Economic Analysis of using Distributed Energy Storage for Frequency Regulation | e-Energy 2020 - Proceedings of the 11th ACM International Conference on Future Energy Systems | 2020 | |
| Design of Solar-Wind Hybrid Power System by using Solar-Wind Complementarity | Proceedings of 2020 4th International Conference on Green Energy and Applications, ICGEA 2020 | 2020 | |
| Short term load forecasting on PRECON dataset | 2019 International Conference on Advances in the Emerging Computing Technologies, AECT 2019 | 2020 | |
| Towards Developing a Large Distributed Energy Storage using a Weighted Batteries Scheduling Scheme | IEEE Access | 2020 | |
| Optimized power system planning for base transceiver station (BTS) based on minimized power consumption and cost | 8th International Conference on Renewable Energy Research and Applications, ICRERA 2019 | 2019 | |
| Short term load forecasting using smart meter data | e-Energy 2019 - Proceedings of the 10th ACM International Conference on Future Energy Systems | 2019 | |
| PRECON: Pakistan residential electricity consumption dataset | e-Energy 2019 - Proceedings of the 10th ACM International Conference on Future Energy Systems | 2019 | |
| A Novel Demand Side Management (DSM) technique for electric grids with high renewable energy mix using hierarchical clustering of loads | SMARTGREENS 2019 - Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems | 2019 | |
| Integrating floating solar PV with hydroelectric power plant: Analysis of Ghazi barotha reservoir in Pakistan | Energy Procedia | 2019 | |
| Poster abstract: Towards developing a large energy store using small scale distributed batteries | BuildSys 2018 - Proceedings of the 5th Conference on Systems for Built Environments | 2018 | |
| Economic dispatch incorporating the greenness index of energy generation sources | e-Energy 2018 - Proceedings of the 9th ACM International Conference on Future Energy Systems | 2018 | |
| Investor focused placement and sizing of photovoltaic grid-connected systems in Pakistan | Renewable Energy | 2018 | |
| Soft load shedding: An efficient approach to manage electricity demand in a renewable rich distribution system | SMARTGREENS 2018 - Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems | 2018 |