Yifu Eve Ding

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Post-doc at MIT Energy Initiative | Ph.D. in Engineering Science, Oxford University.| Data-driven stochastic optimization | Clean and reliable energy systems 🔋| Science blogs & talks 🤓

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Publications

A summary of my publications in reversed chronological order. My google scholar profile is here .







2023

  • Y.Ding, B. Hobbs, “Joint Chance-constrained Game for Coordinating Microgrids in Energy and Reserve Markets: A Bayesian Optimization Approach, (Pre-print after revisions), https://arxiv.org/abs/2306.12644

  • Y. Ding, S. Wang, and B. Hobbs, “Coordinating renewable microgrids for reliable energy and reserve services: a distributionally robust chance-constrained game model”, The 14th ACM International Conference on Future Energy Systems.

2022

  • Y. Ding, T. Morstyn and M. D. McCulloch, “Distributionally Robust Joint Chance-Constrained Optimization for Networked Microgrids Considering Contingencies and Renewable Uncertainty,” in IEEE Transactions on Smart Grid, doi: 10.1109/TSG.2022.3150397.

2021

  • Y. Ding and M. D. McCulloch, “Distributionally robust optimization for networked microgrids considering contingencies and renewable uncertainty,” 2021 60th IEEE Conference on Decision and Control (CDC), 2021, pp. 2330-2335, doi: 10.1109/CDC45484.2021.9683658.

  • Y. Ding, M.D. McCulloch, Additive Gaussian process prediction for electrical loads compared with deep learning models, The 12th ACM International Conference on Future Energy Systems, June 2021, doi: 10.1145/3447555.3466592

Before 2020

  • Data Study Group, Green Radio: Dynamic power saving configuration for mobile networks, The Alan Turing Institute Report, 2020, http://doi.org/10.5281/zenodo.3786852.

  • Y. Ding, R. Moreira, D. Cedillos, Assessment of the Value of Frequency Response Times in Power Systems, IEEE PES Innovative Smart Grid Technologies Europe, 2019, doi: 10.1109/ISGTEurope.2019.8905596