The scientist’s investigation covers issues in Electric power system, Wind power, Mathematical optimization, Renewable energy and Energy storage. His Electric power system research includes themes of Electricity, Control theory, Algorithm design, Quadratic programming and Solar power. Qing Xia combines subjects such as Probabilistic forecasting, Distributed generation, Power system simulation and Automotive engineering with his study of Wind power.
His Mathematical optimization research integrates issues from Forecast error, Probabilistic logic, Sensitivity analysis and Robustness. His research integrates issues of Reliability engineering, Environmental economics and Energy mix in his study of Renewable energy. His Energy storage research incorporates elements of Control engineering, Optimization problem and Photovoltaic system.
Qing Xia spends much of his time researching Electric power system, Mathematical optimization, Electricity, Renewable energy and Environmental economics. Qing Xia has researched Electric power system in several fields, including Electricity generation, Wind power, Reliability engineering and Control theory. The Wind power study combines topics in areas such as Probabilistic logic and Energy storage.
The study incorporates disciplines such as Distributed generation and Photovoltaic system in addition to Energy storage. His Mathematical optimization study combines topics in areas such as Bidding and Robustness. The Renewable energy study which covers Process engineering that intersects with Power station.
His primary areas of investigation include Electric power system, Electricity, Mathematical optimization, Renewable energy and Electricity market. His study in Electric power system is interdisciplinary in nature, drawing from both Linear programming and Cluster analysis. The concepts of his Electricity study are interwoven with issues in Incentive, Competition, Environmental economics and Electricity generation.
Qing Xia interconnects Artificial neural network, Convergence, Transmission, Power transmission and Investment in the investigation of issues within Mathematical optimization. His Renewable energy research is multidisciplinary, relying on both Variable renewable energy, Reduction, Process engineering and Market mechanism. His Electricity market research incorporates themes from Identification, Scheduling, Market clearing and Oligopoly.
Renewable energy, Electric power system, Reliability engineering, Electricity and Reduction are his primary areas of study. His work deals with themes such as Transmission and Cluster analysis, which intersect with Renewable energy. The various areas that Qing Xia examines in his Electric power system study include Probabilistic logic, Transmission line, Mathematical optimization and Electric power transmission.
His study on Reliability engineering also encompasses disciplines like
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Increasing the Flexibility of Combined Heat and Power for Wind Power Integration in China: Modeling and Implications
Xinyu Chen;Chongqing Kang;Mark O'Malley;Qing Xia.
IEEE Transactions on Power Systems (2015)
Coupon Incentive-Based Demand Response: Theory and Case Study
Haiwang Zhong;Le Xie;Qing Xia.
IEEE Transactions on Power Systems (2013)
Optimal Bidding Strategy of Battery Storage in Power Markets Considering Performance-Based Regulation and Battery Cycle Life
Guannan He;Qixin Chen;Chongqing Kang;Pierre Pinson.
IEEE Transactions on Smart Grid (2016)
Unit Commitment With Volatile Node Injections by Using Interval Optimization
Yang Wang;Qing Xia;Chongqing Kang.
IEEE Transactions on Power Systems (2011)
Clustering of Electricity Consumption Behavior Dynamics Toward Big Data Applications
Yi Wang;Qixin Chen;Chongqing Kang;Qing Xia.
IEEE Transactions on Smart Grid (2016)
Review and prospect of integrated demand response in the multi-energy system
Jianxiao Wang;Haiwang Zhong;Ziming Ma;Qing Xia.
Applied Energy (2017)
Power Generation Expansion Planning Model Towards Low-Carbon Economy and Its Application in China
Qixin Chen;Chongqing Kang;Qing Xia;Jin Zhong.
IEEE Transactions on Power Systems (2010)
Modeling Conditional Forecast Error for Wind Power in Generation Scheduling
Ning Zhang;Chongqing Kang;Qing Xia;Ji Liang.
IEEE Transactions on Power Systems (2014)
Planning Pumped Storage Capacity for Wind Power Integration
Ning Zhang;Chongqing Kang;D. S. Kirschen;Qing Xia.
IEEE Transactions on Sustainable Energy (2013)
Data-Driven Probabilistic Net Load Forecasting With High Penetration of Behind-the-Meter PV
Yi Wang;Ning Zhang;Qixin Chen;Daniel S. Kirschen.
IEEE Transactions on Power Systems (2018)
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