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20172026

Research activity per year

Personal profile

Qualifications

PhD

Research Interests

Smart Grids, Demand Response, Optimisation Modelling, Battery Scheduling, Stochastic Scheduling, EVs. 

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Dive into the research topics where Dora He is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years

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  • Neighbourhood Batteries and Virtual Power Plants: a Comparison of Potential Benefits for the Grid and for Households

    He, S., Bardwell, L. & Shaw, M., 2023, 2023 IEEE Power and Energy Society General Meeting, PESGM 2023. IEEE Computer Society, (IEEE Power and Energy Society General Meeting; vol. 2023-July).

    Research output: Chapter in Book/Report/Conference proceedingConference Paperpeer-review

    3 Citations (Scopus)
  • Fast and Scalable Electrical Demand Scheduling for a Large Number of Residential Consumers

    He, D. S., Mar 2022, 256 p.

    Research output: Theses and DissertationsDoctoral thesis

  • High Impact False Data Injection Attack against Real-time Pricing in Smart Grids

    Dayaratne, T., Rudolph, C., Liebman, A., Salehi, M. & He, S., Sept 2019, Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019. Institute of Electrical and Electronics Engineers Inc., 8905473. (Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference Paperpeer-review

    26 Citations (Scopus)
  • A fast and scalable algorithm for scheduling large numbers of devices under real-time pricing

    He, S., Wallace, M., Gange, G., Liebman, A. & Wilson, C., 2018, Principles and Practice of Constraint Programming - 24th International Conference, CP 2018, Proceedings. Hooker, J. (ed.). Springer Verlag Italia, p. 649-666 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11008 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference Paperpeer-review

    13 Citations (Scopus)
  • Fast electrical demand optimization under real-time pricing

    He, S., Wallace, M., Wilson, C. & Liebman, A., 2017, WS-17-01: Artificial Intelligence and Operations Research for Social Good; WS-17-02: Artificial Intelligence, Ethics, and Society; WS-17-03: Artificial Intelligence for Connected and Automated Vehicles; WS-17-04: Artificial Intelligence for Cyber Security; WS-17-05: Artificial Intelligence for Smart Grids and Buildings; WS-17-06: Computer Poker and Imperfect Information Games; WS-17-07: Crowdsourcing, Deep Learning and Artificial Intelligence Agents; WS-17-08: Distributed Machine Learning; WS-17-09: Joint Workshop on Health Intelligence; WS-17-10: Human-Aware Artificial Intelligence; WS-17-11: Human-Machine Collaborative Learning; WS-17-12: Knowledge-Based Techniques for Problem Solving and Reasoning; WS-17-13: Plan, Activity, and Intent Recognition; WS-17-14: Symbolic Inference and Optimization; WS-17-15: What's Next for AI in Games?. AI Access Foundation, p. 253-259 7 p. (AAAI Workshop - Technical Report; vol. WS-17-01 - WS-17-15).

    Research output: Chapter in Book/Report/Conference proceedingConference Paperpeer-review