[1]  M. Sun（第一作者）, T. Zhang, Y. Wang, G. Strbac and C. Kang, "Using Bayesian Deep Learning to Capture Uncertainty for Residential Net Load Forecasting," in IEEE Transactions on Power Systems. vol. 35, no. 1, pp. 188-201, Jan. 2020.

[2]  M. Sun（第一作者）, I. Konstantelos and G. Strbac, "A Deep Learning-Based Feature Extraction Framework for System Security Assessment," in IEEE Transactions on Smart Grid, vol. 10, no. 5, pp. 5007-5020, Sept. 2019.

[3]  M. Sun（第一作者）, I. Konstantelos and G. Strbac, "C-Vine Copula Mixture Model for Clustering of Residential Electrical Load Pattern Data," in IEEE Transactions on Power Systems, vol. 32, no. 3, pp. 2382-2393, May 2017.

[4]  M. Sun（第一作者）, Y. Wang, G. Strbac and C. Kang, "Probabilistic Peak Load Estimation in Smart Cities Using Smart Meter Data," in IEEE Transactions on Industrial Electronics, vol. 66, no. 2, pp. 1608-1618, Feb. 2019.

[5]  M. Sun（第一作者）, F. Teng, X. Zhang, G. Strbac and D. Pudjianto, “Data-Driven Representative Day Selection for Investment Decisions: A Cost-Oriented Approach,” in IEEE Transactions on Power Systems, vol. 34, no. 4, pp. 2925-2936, Jul. 2019.

[6]  M. Sun （第一作者）, Y. Wang, F. Teng, Y. Ye, G. Strbac and C. Kang, “Clustering-Based Residential Baseline Estimation: A Probabilistic Perspective,” in IEEE Transactions on Smart Grid. vol. 10, no. 6, pp. 6014-6028, Nov. 2019.

[7]  M. Sun （第一作者）, G. Strbac, P. Djapic and D. Pudjianto, “Preheating Quantification for Smart Hybrid Heat Pumps Considering Uncertainty,” in IEEE Transactions on Industrial Informatics, vol. 15, no. 8, pp. 4753-4763, Aug. 2019.

[8]  M. Sun （第一作者）, F. Teng, I. Konstantelos, G. Strbac, “An objective-based scenario selection method for transmission network expansion planning with multivariate stochasticity in load and renewable energy sources,” in Energy, vol. 145, pp. 871-885, Feb. 2018.

[9]  M. Sun （第一作者）, J. Cremer, Goran Strbac, “A novel data-driven scenario generation framework for transmission expansion planning with high renewable energy penetration,” in Applied Energy, vol. 228, pp. 546-555, Oct. 2018.

[10] M. Sun （第一作者）, P. Djapic, M. Aunedi, D. Pudjianto, G. Strbac, “Benefits of smart control of hybrid heat pumps: An analysis of field trial data,” in Applied Energy, vol. 247, pp. 525-536, Aug. 2019.

[11] Y. Ye, D. Qiu, M. Sun*（通讯作者）, D. Papadaskalopoulos and G. Strbac, “Deep Reinforcement Learning for Strategic Bidding in Electricity Markets,” in IEEE Transactions on Smart Grid, vol. 11, no. 2, pp. 1343-1355, March 2020.

[12] L. Zeng, M. Sun*（通讯作者）, etc., “Physics-Constrained Vulnerability Assessment of Deep Reinforcement Learning-Based SCOPF,” in IEEE Transactions on Power Systems, vol. 38, no. 3, pp. 2690-2704, May 2023.

[13] Z. Zhang, M. Sun*（通讯作者）, etc.,“Physics-Constrained Robustness Evaluation of Intelligent Security Assessment for Power Systems,” in IEEE Transactions on Power Systems, vol. 38, no. 1, pp. 872-884, Jan. 2023.

[14] X. Wan, M. Sun*（通讯作者）, etc., “AdapSafe: Adaptive and Safe-Certified Deep Reinforcement Learning-Based Frequency Control for Carbon-neutral Power Systems”, in AAAI-23, Washington, US, 2023. （国际人工智能顶会， CCF-A）

[15] X. Wan, L. Zeng, M. Sun*（通讯作者）, “Exploring the Vulnerability of Deep Reinforcement Learning based Emergency Control for Low Carbon Power Systems”, IJCAI 22, 2022. （国际人工智能顶会, CCF-A）