Achieving the carbon intensity target of China: A least squares support vector machine with mixture kernel function approach

Zhu, Bangzhu; Ye, Shunxin; Jiang, Minxing; Wang, Ping; Wu, Zhanchi; Xie, Rui; Chevallier, Julien; Wei, Yi‐Ming

doi:10.1016/j.apenergy.2018.10.048

Cited by 89 publications

(27 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Outlier detection [21] and the clustering method [22] are also regarded as classification tasks. There are several other classification methods exhibiting high performance, including SVM (support vector machine) [23], DNNs (deep neural networks) [24], GAN (generative adversarial network), and so on. In addition, clustering methods are used for tasks of classification, including transfer clustering [25], deep clustering [26], and so on.…”

Section: Related Workmentioning

confidence: 99%

“…The kernel function is a key component in the construction of classification models, and some of the latest research efforts involve pursing the improvement of kernel functions to obtain better and more efficient training models [28]- [30]. The mixture kernel function is employed to search for the optimal model parameters in the achievement of China's carbon intensity target based on SVM [23]. The SVM algorithm also is used as a powerful classification tool for cancer genomic classification [31].…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

SVM-Lattice: A Recognition and Evaluation Frame for Double-Peaked Profiles

Yang

Cai

et al. 2020

IEEE Access

View full text Add to dashboard Cite

In big data era, the special data with rare characteristics may be of great significations. However, it is very difficult to automatically search these samples from the massive and high-dimensional datasets and systematically evaluate them. The DoPS, our previous work [1], provided a search method of rare spectra with double-peaked profiles from massive and high-dimensional data of LAMOST survey. The identification of the results is mainly depended on visually inspection by astronomers. In this paper, as a follow-up study, a new lattice structure named SVM-Lattice is designed based on SVM(Support Vector Machine) and FCL(Formal Concept Lattice) and particularly applied in the recognition and evaluation of rare spectra with double-peaked profiles. First, each node in the SVM-Lattice structure contains two components: the intents are defined by the support vectors trained by the spectral samples with the specific characteristics, and the relevant extents are all the positive samples classified by the support vectors. The hyperplanes can be extracted from every lattice node and used as classifiers to search targets by categories. A generalization and specialization relationship is expressed between the layers, and higher layers indicate higher confidence of targets. Then, including a SVM-Lattice building algorithm, a pruning algorithm based on association rules, and an evaluation algorithm, the supporting algorithms are provided and analysed. Finally, for the recognition and evaluation of spectra with double-peaked profiles, several data sets from LAMOST survey are used as experimental dataset. The results exhibit good consistency with traditional methods, more detailed and accurate evaluations of classification results, and higher searching efficiency than other similar methods. INDEX TERMS SVM-Lattice, double-peaked profiles, support vector machine, formal concept lattice.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

SVM-Lattice: A Recognition and Evaluation Frame for Double-Peaked Profiles

Yang

Cai

et al. 2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The water is pumped out and boosted by the water pump to form the cooling water of the high-pressure heater. As shown in Figure 2, a return water heating system including 8 heaters [45,46]. To sum up, Energies 2020, 13, 3957 6 of 20 the return water heating system uses the extraction steam of the steam turbine to heat the water supply improve the thermal efficiency of the power plant and save fuel.…”

Section: Principle and Key Technology Of Biomass Cogenerationmentioning

confidence: 99%

An Economic and Technology Analysis of a New High-Efficiency Biomass Cogeneration System: A Case Study in DC County, China

Huang

Yan

Song³

et al. 2020

Energies

View full text Add to dashboard Cite

Biomass is the fourth largest energy source in the world; it is easy to store and can be converted into various kinds of renewable energies. The biomass cogeneration system is an important way to utilize biomass energy, especially in northern China. At present, there are many problems in biomass power plants in China, such as high latent heat loss of chimney and cooling towers, low power generation efficiency, and thermal efficiency. In order to solve this problem, this paper introduces low vacuum circulating water heating technology in the biomass cogeneration system, and expounds the differences between China and Western countries in biomass power plants. Based on this background, the technology is redesigned and reformed to make it more suitable for the biomass fuel varieties in the power plant location, and realize the localization of technology and the expansion of scale. The application of this improved technology in China’s biomass cogeneration project is analyzed. Based on the biomass cogeneration project in the DC County of China, the analysis confirms that the designed low vacuum circulating water heating technology is suitable for biomass power generation projects with agricultural and forestry wastes as raw materials, and its application can greatly improve the heat utilization efficiency of the whole cogeneration system. At the same time, in order to estimate the possibility of profitable investment when the key financial parameters change, the financial risk is analyzed. The results show that the probability of 90% net present value (NPV) in 15 years is between 355.28 million RMB and 623.96 million RMB, and the internal rate of return can reach 17.7%.

show abstract

“…Patel [9] experimentally studied premixed turbulent combustion in a semi-confined explosion chamber, the experiment showed that the turbulence stretch dominated in regions behind the obstacles due to the presence of highly recirculating zones while the mean flamelet stretch was dominant in the flow jetting regions around the obstacles. Chen [10] studied the effects of the plate with different slit number on gas explosions by experiment and LES (Large Eddy Simulation), showed that the plate slits in a closed tube can result in flame acceleration of premixed methane/air [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on the Effect of Air Pollution Caused by Methane-Air Deflagration Characteristics

Zhang¹,

Feng²,

Zhang³

et al. 2020

Rev. Chim.

View full text Add to dashboard Cite

In order to study the effect of combustible gas cloud releasing from FPSO upper deck facilities deflagration characteristics on air pollution, a semi-open open test pipe system was built. By changing the initial conditions such as the obstacles length, distance between obstacles, section shape of obstacles and pipe system structure, the flame propagation mechanism and overpressure changing rules of methane / air deflagration were analyzed. As a result of that, the degree of sufficiency of methane combustion was analyzed, which could be seen as air pollution level. With the increase of the length of obstacle and decrease of the distance between obstacles, the induced turbulence increased, the compression effect of unburned gas became stronger, the combustion of combustible gas became more intense and sufficient, and the flame propagation speed and the maximum overpressure increased. The effect of square cross section was more obvious on inducing turbulence than that of rectangular cross section and circular cross section. The flame front was divided into many small flames by the pipe structure obstacle, and the flame front showed as a `spiny` shape. Under the effect of �spiny� flame, the methane combustion was more sufficient, and the maximum overpressure value was 3.1 times of the circular section obstacle condition. In conclusion, as the methane-air deflagration becoming more serious, although the overpressure and flame speed would be higher and the extent of damage to the surrounding facilities would be more serious, the air pollution causing by unburned gas would abate.

show abstract

Achieving the carbon intensity target of China: A least squares support vector machine with mixture kernel function approach

Cited by 89 publications

References 39 publications

SVM-Lattice: A Recognition and Evaluation Frame for Double-Peaked Profiles

SVM-Lattice: A Recognition and Evaluation Frame for Double-Peaked Profiles

An Economic and Technology Analysis of a New High-Efficiency Biomass Cogeneration System: A Case Study in DC County, China

Experimental Study on the Effect of Air Pollution Caused by Methane-Air Deflagration Characteristics

Contact Info

Product

Resources

About