Abstract
There are some characteristics such as multi-borders, nonlinear time-variation of the thermal system of large coal-fired power units, the complex relationships between operating parameters and energy consumption, which affect the operation precision of thermal power units. According to rigorous theoretical analysis key operating parameters are identified and used to determine the standard coal consumption rate. On this basis, features are extracted and used as the inputs to SVR for training and testing. Energy consumption distribution model under full conditions of large coal-fired power units based on aforesaid method achieved a high precision.
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Zhao, M., Yan, Z., Zhou, L. (2014). Thermal Power Units’ Energy Consuming Speciality Analysis Based on Support Vector Regression (SVR). In: Wang, X., Pedrycz, W., Chan, P., He, Q. (eds) Machine Learning and Cybernetics. ICMLC 2014. Communications in Computer and Information Science, vol 481. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45652-1_9
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DOI: https://doi.org/10.1007/978-3-662-45652-1_9
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