Dongxiao Niu

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Many models have been developed to forecast wind farm power output. It is generally difficult to determine whether the performance of one model is consistently better than that of another model under all circumstances. Motivated by this finding, we aimed to integrate groups of models into an aggregated model using fuzzy theory to obtain further performance(More)
Xiaomin Xu 1,*, Dongxiao Niu 1, Jinpeng Qiu 1, Meiqiong Wu 1, Peng Wang 2, Wangyue Qian 3 and Xiang Jin 3 1 School of Economics and Management, North China Electric Power University, Beijing 102206, China; niudx@ncepu.edu.cn (D.N.); 1142206134@ncepu.edu.cn (J.Q.); wumeiqiong92@163.com (M.W.) 2 Shanxi Electric Power Design Institute Co. Ltd, China Energy(More)
In this paper, we propose Hybrid Particle Swarm Optimization (HPSO) with genetic algorithm(GA) mutation to optimize the SVM forecasting model. In the process of doing so, we first use HPSO with genetic algorithm to make pretreatment of the data. PSO with GA model is a method for finding a solution of stochastic global optimizer based on swarm intelligence.(More)
Industrial sectors account for around 70% of the total energy-related CO2 emissions in China. It is of great importance to measure the potential for CO2 emissions reduction and calculate the carbon price in industrial sectors covered in the Emissions Trading Scheme and carbon tax. This paper employs the directional distance function to calculate the(More)