主要成就：
2009.10 ~2012.6 在为其三年的“欧盟第七框架计划-东南欧输电TSO挑战项目”中，主要负责研发电网堵塞管理的策略方案和相关算法。
2012.6 ~2013.9 在项目“智能电网战略实施决策支持系统用户响应模块研究”当中，提出基于行为边界的需求侧响应分析模型。该方法比传统的模型具有更高的分析精度和更低的历史数据依赖性，能在局部数据缺乏的情况下准确的为负荷建模，促进了需求侧响应负荷特性分析领域的发展。该方法发表于下述论文当中，SCI影响因子5.613。
Fang Yuan Xu, Tao Zhang, Loi Lei Lai, ‘Shifting Boundary for price-based residential demand response and applications’, Applied Energy, 146, PP 353-370, 2015.
2013.11 ~2014.12 在项目”智能配用电系统决策与辅助关键技术研究”，提出全新的动态电价方案：“基于价格线型差异的动态电价包”。该方案有效降低了多种动态电价（包括峰谷电价）的负荷过度转移问题，并提出基于该电价方案的“双赢”式定价策略，在降低用户电费的同时降低电网运行成本。该方法发表于下述论文当中，2014年投稿时杂志SCI影响因子8.785（是IEEE所有杂志中影响因子最高的）。
Fang Yuan Xu, Loi Lei Lai, ‘Novel Active Time Based Demand Response for Industrial Consumers in Smart Grid’, IEEE Transactions on Industrial Informatics, June 2015.
2012.10 ~ 至今
（专利申请） 在工作期间，作为发明人的专利申请包括：.
 ‘一种电力用户响应系统的智能体’. 专利号.: ZL 2012 1 0413935.3. （已获授权）
 ‘一种电力用户响应系统和方法’. 专利号.: ZL 2012 1 0414791.3. （已获授权）
 ‘一种电力用户响应系统的智能体的智能体控制与学习模块’.专利号.: ZL 2012 1 0413318.3. （已获授权）
 ‘基于电力系统与通信系统的联合模拟方法’. 申请号: 201310389809.3
 ‘基于电力系统与通信系统联合模拟的同步控制方法及装置’. 申请号:201310389828.6.（国家知识产权局已审核通过）
 ‘基于电力系统与通信系统联合模拟的步长调节方法及装置’. 申请号：201310389830.3. （国家知识产权局已审核通过）
 ‘电力系统模拟、通信系统模拟系统及联合模拟引擎及系统’. 申请号：201310390447.X.
 ‘一种充电站群的负荷模拟方法及系统. 申请号: 201410468563.3.
 ‘一种微电网与大电网信息交互方法及装置’, 申请号: 201410653414.4.
 ‘一种基于多价格线型的分时电价计算方法装置’，申请号：201510728820.7.
2014.09 ~2014.12 作为团队队长参与“第二届中国大数据技术创新大赛”，获三等奖。获奖技术为“基于磁道读写优化的大数据读写系统”.
2013.5~2013.11 在IEEE SMC分会2013年年度会议（2013 International Conference on Systems, Man and Cybernetics）中担任注册事务主席，在会议筹备和举办期间负责所有注册和财务事务。该会议被评为SMC历史上最成功的年会。

发表文献：  
1. Chun Sing Lai, Fang Yuan Xu, Malcom McCulloch, Loi Lei Lai, Application of Distributed Intelligence to Industrial Demand Response, in Smart Grid Handbook, (Editors: Chen-Ching Liu, Stephen McArthur, Seung-Jae Lee), Wiley, 2016. （书籍）

2. Fang Yuan Xu, Tao Zhang, Loi Lei Lai, ‘Shifting boundary for price-based residential demand response and applications’, Applied Energy, 146, PP 353-370, 2015. (SCI/E, IF 5.613)

3. Fang Yuan Xu, Loi Lei Lai, ‘Novel active time based demand response for industrial consumers in smart grid’, IEEE Transactions on Industrial Informatics, June 2015. (SCI/E, IF 8.785, the highest among all IEEE publications)

4. Fang Yuan Xu,Xue Wang,Loi Lei Lai, Chun Sing Lai, ‘Agent-based modeling and neural network for residential customer demand response’, 2013 IEEE International Conference on System, Man and Cybernetics, pp 1312-1316, 2013.

5. Fang Yuan Xu, Loi Lei Lai, ‘Day periodical classification for wide area day ahead short-term load forecast’, 2012 IEEE Power and Energy Society General Meeting, pp 1-4, 2012.

6. Fang Yuan Xu, Long Zhou, Yi Lin Wu, Yingnan Ma, ‘Standards, policies and case studies in smart metering’, 2010 IEEE Power and Energy Society General Meeting, pp 1-5, 2010.

7. Fang Yuan Xu, Long Zhou, Loi Lei Lai, ‘Application of artificial neural network in electrical analysis of micro-grid load’, 2010 IEEE Power and Energy Society General Meeting, pp 1-5, 2010.

8. Fang Yuan Xu, M.C. Leung, Long Zhou, ‘A RBF network for short-term Load forecast on microgrid’, 2010 International Machine Learning and Cybernetics, pp 3195-3199, 2010.

9. Fang Yuan Xu, Loi Lei Lai, ‘Simple intelligent 3-phase power quality detecting framework for microgrid’, 2011 International Machine Learning and Cybernetics, pp 1319-1323, 2011.

10. Fang Yuan Xu, Long Zhou, Ying-Nan Ma, Loi Lei Lai, ‘Extending version of Graphical User Interface in neural network toolbox of Matlab and engineering applications’, 2009 International Conference on Machine Learning and Cybernetics, pp 187-192, 2009.

11. XinZhang Zhao, Ben He, Fang Yuan Xu, Loi Lei Lai, Chenhao Yang, Sha Lu, Dongxing Li, ‘A model of demand response scheduling for cement plant’, 2014 IEEE International Conference on Systems, Man and Cybernetics, pp 3042-3047, 2014.

12. Loi Lei Lai, HaoTian Zhang, Chun Sing Lai, Fang Yuan Xu, Mishra, S., ‘Investigation on July 2012 Indian blackout’, 2013 International Conference on Machine Learning and Cybernetics, pp 92-97, 2013.

13. Long Zhou, Fang Yuan Xu, Ying Nan Ma, ‘Impact of smart metering on energy efficiency’, 2010 International Conference on Machine Learning and Cybernetics, pp 3213-3218, 2010.

14. Shahjahan, M., Fang Yuan Xu, Loi Lei Lai, ‘Feasibility study of a smart car’, 2011 International Conference on Machine Learning and Cybernetics, pp 1237-1242, 2011.

15. HaoTian Zhang, Fang Yuan Xu, Long Zhou, ‘Artificial neural network for load forecasting in smart grid’, 2010 International Conference on Machine Learning and Cybernetics, pp 3200-3205, 2010.