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 |
|---|---|---|---|
| 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 | |
| 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 | |
| PRECON: Pakistan residential electricity consumption dataset | e-Energy 2019 - Proceedings of the 10th ACM International Conference on Future Energy Systems | 2019 | |
| Short term load forecasting using smart meter data | e-Energy 2019 - Proceedings of the 10th ACM International Conference on Future Energy Systems | 2019 | |
| Integrating floating solar PV with hydroelectric power plant: Analysis of Ghazi barotha reservoir in Pakistan | Energy Procedia | 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 | |
| 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 | |
| Harvesting maximal PV energy with fine grained energy distribution: An alternative to traditional PV systems in buildings | Energy and Buildings | 2017 | |
| A Collaborative Approach to Operate High Powered Devices on Small-scale PV systems | Energy Procedia | 2017 | |
| An analysis of the effects of residential uninterpretable power supply systems on Pakistan's power sector | Energy for Sustainable Development | 2017 | |
| An approach to operate high-powered legacy electrical appliances on small scale solar PV systems | Renewable Energy | 2017 | |
| A Strategy to Reduce Grid Stress through Priority-based Inverter Charging | Energy Procedia | 2017 | |
| Poster paper: Maximizing renewable energy usage in buildings using smart energy switching platform | SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems | 2015 | |
| Reflections on teaching refactoring: A tale of two projects | Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE | 2015 | |
| CBSF: A Framework for Accurate Simulation of Appliance Data for Future Smart Grid Applications | Energy Procedia | 2015 | |
| Enhanced LZMA and BZIP2 for improved energy data compression | SMARTGREENS 2015 - 4th International Conference on Smart Cities and Green ICT Systems, Proceedings | 2015 | |
| DeLi2P: A user centric, scalable demand side management strategy for smart grids | SMARTGREENS 2015 - 4th International Conference on Smart Cities and Green ICT Systems, Proceedings | 2015 | |
| An empirical investigation of V-I trajectory based load signatures for non-intrusive load monitoring | IEEE Transactions on Smart Grid | 2014 | |
| Integrating renewables economic dispatch with demand side management in micro-grids: A genetic algorithm-based approach | Energy Efficiency | 2014 | |
| A low cost implementation of home area networks for home energy management systems | Proceedings - 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 with the 7th IEEE International Conference on Social Computing and Networking, SocialCom 2014 and the 4th International Conference on Sustainable Computing and Communications, SustainCom 2014 | 2014 | |
| SmartDSM: A layered model for development of demand side management in smart grids | 3rd International Workshop on Software Engineering Challenges for the Smart Grid, SE4SG 2014 - Proceedings | 2014 |