Mingyang Sun

发表

CEP Discussion Paper No 1602 February 2019 Making Smart Meters Smarter the Smart Way

G. Strbac, Greer K Gosnell, Mirabelle Muûls, 2019 .

A Deep Learning-Based Remaining Useful Life Prediction Approach for Bearings

Cheng Cheng, Ye Yuan, Yong Zhang, 2018, IEEE/ASME Transactions on Mechatronics.

Physics-Constrained Robustness Evaluation of Intelligent Security Assessment for Power Systems

C. Kang, Ruilong Deng, M. Chow, 2023, IEEE Transactions on Power Systems.

Robust and automatic data cleansing method for short-term load forecasting of distribution feeders

Goran Strbac, Simon Tindemans, Mingyang Sun, 2020, Applied Energy.

A Machine Learning Approach for Generating and Evaluating Forecasts on the Environmental Impact of the Buildings Sector

G. Strbac, I. Konstantelos, D. Pudjianto, 2023, Energies.

C-Vine Copula Mixture Model for Clustering of Residential Electrical Load Pattern Data

Goran Strbac, Mingyang Sun, Ioannis Konstantelos, 2017, IEEE Transactions on Power Systems.

Deep Reinforcement Learning for Strategic Bidding in Electricity Markets

Goran Strbac, Mingyang Sun, Dimitrios Papadaskalopoulos, 2020, IEEE Transactions on Smart Grid.

Using Bayesian Deep Learning to Capture Uncertainty for Residential Net Load Forecasting

Yi Wang, Goran Strbac, Chongqing Kang, 2020, IEEE Transactions on Power Systems.

Quantifying demand diversity of households

Goran Strbac, Mingyang Sun, Ioannis Konstantelos, 2014 .

Selecting decision trees for power system security assessment

Goran Strbac, Jochen L. Cremer, Mingyang Sun, 2021 .

A Deep Learning-Based Feature Extraction Framework for System Security Assessment

Goran Strbac, Mingyang Sun, Ioannis Konstantelos, 2019, IEEE Transactions on Smart Grid.

Using Vine Copulas to Generate Representative System States for Machine Learning

Goran Strbac, Patrick Panciatici, Simon H. Tindemans, 2019, IEEE Transactions on Power Systems.

Benefits of smart control of hybrid heat pumps: An analysis of field trial data

Marko Aunedi, Danny Pudjianto, Goran Strbac, 2019, Applied Energy.

Probabilistic individual load forecasting using pinball loss guided LSTM

Ning Zhang, Chongqing Kang, Zongxiang Lu, 2019, Applied Energy.

A novel data-driven scenario generation framework for transmission expansion planning with high renewable energy penetration

Goran Strbac, Mingyang Sun, Jochen L. Cremer, 2018, Applied Energy.

Transmission network expansion planning with stochastic multivariate load and wind modeling

Goran Strbac, Mingyang Sun, Ioannis Konstantelos, 2016, 2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS).

A Confidence-Aware Machine Learning Framework for Dynamic Security Assessment

Goran Strbac, Chongqing Kang, Mingyang Sun, 2021, IEEE Transactions on Power Systems.

Clustering-Based Residential Baseline Estimation: A Probabilistic Perspective

Goran Strbac, Chongqing Kang, Fei Teng, 2019, IEEE Transactions on Smart Grid.

Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid

Goran Strbac, Jianye Hao, Yaodong Yang, 2018, IJCAI.

Electricity Consumer Characteristics Identification: A Federated Learning Approach

Yi Wang, Mingyang Sun, Xiufeng Liu, 2021, IEEE Transactions on Smart Grid.

Multi-service provision for electric vehicles in power-transportation networks towards a low-carbon transition: A hierarchical and hybrid multi-agent reinforcement learning approach

G. Strbac, Yi Wang, Mingyang Sun, 2022, Applied Energy.

Probabilistic Peak Load Estimation in Smart Cities Using Smart Meter Data

Goran Strbac, Chongqing Kang, Yi Wang, 2019, IEEE Transactions on Industrial Electronics.

Online Bearing Remaining Useful Life Prediction Based on a Novel Degradation Indicator and Convolutional Neural Networks pdf

Cheng Cheng, Han Ding, Yong Zhang, 2018, ArXiv.

An Ensemble Forecasting Method for the Aggregated Load With Subprofiles

Chongqing Kang, Qixin Chen, Qing Xia, 2018, IEEE Transactions on Smart Grid.

Secure energy management of multi-energy microgrid: A physical-informed safe reinforcement learning approach

G. Strbac, Yi Wang, Zhiwei Gao, 2023, Applied Energy.

Federated Clustering for Electricity Consumption Pattern Extraction

G. Hug, Yi Wang, Mengshuo Jia, 2022, IEEE Transactions on Smart Grid.

Preheating Quantification for Smart Hybrid Heat Pumps Considering Uncertainty

Danny Pudjianto, Goran Strbac, Predrag Djapic, 2019, IEEE Transactions on Industrial Informatics.

Distributed Voltage Control of Active Distribution Networks With Global Sensitivity

C. Wan, Yonghua Song, Yongzhi Zhou, 2022, IEEE Transactions on Power Systems.

Deep Reinforcement Learning-Based Demand Response for Smart Facilities Energy Management

Renzhi Lu, Hai-Tao Zhang, Ruichang Bai, 2021, IEEE Transactions on Industrial Electronics.

Two-Stage Bootstrap Sampling for Probabilistic Load Forecasting

Yi Wang, Jiawei Zhang, Ning Zhang, 2020, IEEE Transactions on Engineering Management.

Hierarchical multi-agent reinforcement learning for repair crews dispatch control towards multi-energy microgrid resilience

G. Strbac, Yi Wang, Mingyang Sun, 2023, Applied Energy.

Hybrid Multiagent Reinforcement Learning for Electric Vehicle Resilience Control Towards a Low-Carbon Transition

G. Strbac, Yi Wang, Mingyang Sun, 2022, IEEE Transactions on Industrial Informatics.

AdapSafe: Adaptive and Safe-Certified Deep Reinforcement Learning-Based Frequency Control for Carbon-Neutral Power Systems

Mingyang Sun, Zhongda Chu, Boli Chen, 2023, AAAI.

Data-Driven Representative Day Selection for Investment Decisions: A Cost-Oriented Approach

Xi Zhang, Danny Pudjianto, Goran Strbac, 2019, IEEE Transactions on Power Systems.

Testing the Weak-Form Market Efficiency Hypothesis for Canadian and Chinese Stock Markets

Mingyang Sun, Bin Hou, 2014 .

Constructing Probabilistic Load Forecast From Multiple Point Forecasts: A Bootstrap Based Approach

Chongqing Kang, Ning Zhang, Yi Wang, 2018, 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia).