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Intisar Ali Sajjad
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Journal Articles
- 2023
- [j6]Muhammad Adnan Khan, Ahmed Mohammed Saleh, Muhammad Waseem, Intisar Ali Sajjad:
Artificial Intelligence Enabled Demand Response: Prospects and Challenges in Smart Grid Environment. IEEE Access 11: 1477-1505 (2023) - [j5]Muhammad Sarwar, Muhammad Arshed, Babar Hussain, Muhammad Rasheed, Hanan Tariq, Stanislaw Czapp, Sarmad Tariq, Intisar Ali Sajjad:
Stability Enhancement of Grid-Connected Wind Power Generation System Using PSS, SFCL and STATCOM. IEEE Access 11: 30832-30844 (2023) - 2021
- [j4]Rehan Liaqat, Intisar Ali Sajjad, Muhammad Waseem, Hassan Haes Alhelou:
Appliance Level Energy Characterization of Residential Electricity Demand: Prospects, Challenges and Recommendations. IEEE Access 9: 148676-148697 (2021) - 2020
- [j3]Waqas ur Rehman, Abdul Rauf Bhatti, Ahmed Bilal Awan, Intisar Ali Sajjad, Asad Ali Khan, Rui Bo, Saaqib Haroon, Salman Amin, Iskander Tlili, Oroghene Oboreh-Snapps:
The Penetration of Renewable and Sustainable Energy in Asia: A State-of-the-Art Review on Net-Metering. IEEE Access 8: 170364-170388 (2020) - [j2]Muhammad Umar Afzaal, Intisar Ali Sajjad, Muhammad Faisal Nadeem Khan, Saaqib Haroon, Salman Amin, Rui Bo, Waqas ur Rehman:
Inter-temporal characterization of aggregate residential demand based on Weibull distribution and generalized regression neural networks for scenario generations. J. Intell. Fuzzy Syst. 39(3): 4491-4503 (2020) - 2016
- [j1]Intisar Ali Sajjad, Gianfranco Chicco, Roberto Napoli:
Definitions of Demand Flexibility for Aggregate Residential Loads. IEEE Trans. Smart Grid 7(6): 2633-2643 (2016)
Conference and Workshop Papers
- 2014
- [c3]Intisar Ali Sajjad, Gianfranco Chicco, Majid Aziz, Akhtar Rasool:
Potential of residential demand flexibility - Italian scenario. SSD 2014: 1-6 - [c2]Intisar Ali Sajjad, Gianfranco Chicco, Roberto Napoli:
A statistical analysis of sampling time and load variations for residential load aggregations. SSD 2014: 1-6 - [c1]Intisar Ali Sajjad, Gianfranco Chicco, Roberto Napoli:
A probabilistic approach to study the load variations in aggregated residential load patterns. PSCC 2014: 1-7
Coauthor Index
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