Mingyang Sun
Title
Cited by
Cited by
Year
An Ensemble Forecasting Method for the Aggregated Load with Sub Profiles
Y Wang, Q Chen, M Sun, C Kang, Q Xia
IEEE Transactions on Smart Grid, 2018
672018
C-vine copula mixture model for clustering of residential electrical load pattern data
M Sun, I Konstantelos, G Strbac
IEEE Transactions on Power Systems, 2017
532017
Probabilistic Individual Load Forecasting Using Pinball Loss Guided LSTM
Y Wang, D Gan, M Sun, N Zhang, C Kang, Z Lu
Applied Energy, 2018
502018
Probabilistic peak load estimation in smart cities using smart meter data
M Sun, Y Wang, G Strbac, C Kang
IEEE Transactions on Industrial Electronics 66 (2), 1608-1618, 2018
272018
A Deep Learning-Based Feature Extraction Framework for System Security Assessment
M Sun, I Konstantelos, G Strbac
IEEE Transactions on Smart Grid, 2018
262018
Evaluating composite approaches to modelling high-dimensional stochastic variables in power systems
M Sun, I Konstantelos, S Tindemans, G Strbac
2016 Power Systems Computation Conference (PSCC), 1-8, 2016
252016
An objective-based scenario selection method for transmission network expansion planning with multivariate stochasticity in load and renewable energy sources
M Sun, F Teng, I Konstantelos, G Strbac
Energy 145, 871-885, 2018
232018
Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid
Y Yang, J Hao, M Sun, Z Wang, G Strbac, C Fan
IJCAI-ECAI-18, 2018
192018
A novel data-driven scenario generation framework for transmission expansion planning with high renewable energy penetration
M Sun, J Cremer, G Strbac
Applied energy 228, 546-555, 2018
162018
Clustering-Based Residential Baseline Estimation: A Probabilistic Perspective
M Sun, Y Wang, F Teng, Y Ye, G Strbac, C Kang
IEEE Transactions on Smart Grid, 2019
132019
Analysis of diversified residential demand in London using smart meter and demographic data
M Sun, I Konstantelos, G Strbac
2016 IEEE Power and Energy Society General Meeting (PESGM), 1-5, 2016
122016
Data-Driven Representative Day Selection for Investment Decisions: A Cost-Oriented Approach
M Sun, F Teng, X Zhang, G Strbac, D Pudjianto
IEEE Transactions on Power Systems, 2019
112019
Deep Reinforcement Learning for Strategic Bidding in Electricity Markets
Y Ye, D Qiu, M Sun*, D Papadaskalopoulos, G Strbac
IEEE Transactions on Smart Grid, 2019
102019
Using Bayesian Deep Learning to Capture Uncertainty for Residential Net Load Forecasting
M Sun, T Zhang, Y Wang, G Strbac, C Kang
IEEE Transactions on Power Systems, 2019
102019
Quantifying demand diversity of households
I Konstantelos, M Sun, G Strbac
Imperial College London, 2014
102014
Using Vine Copulas to Generate Representative System States for Machine Learning
I Konstantelos, M Sun*, S Tindemans, S Issad, P PANCIATICI, G Strbac
IEEE Transactions on Power Systems, 2018
92018
Benefits of smart control of hybrid heat pumps: an analysis of field trial data
M Sun, P Djapic, M Aunedi, D Pudjianto, G Strbac
Applied Energy, 2019
62019
A deep learning-based remaining useful life prediction approach for bearings
C Cheng, G Ma, Y Zhang, M Sun, F Teng, H Ding, Y Yuan
IEEE/ASME Transactions on Mechatronics, 2020
5*2020
Recurrent deep multiagent q-learning for autonomous agents in future smart grid
Y Yang, J Hao, Z Wang, M Sun, G Strbac
Proceedings of the 17th International Conference on Autonomous Agents and …, 2018
42018
Transmission network expansion planning with stochastic multivariate load and wind modeling
M Sun, I Konstantelos, G Strbac
2016 International Conference on Probabilistic Methods Applied to Power …, 2016
42016
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