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Urban power supply system has close relationship with urban public safety. The main risk factors, accident types and the risk degree of failures or accidents in urban power supply system are analyzed. And, it has established the public safety risk assessment system of urban power supply system. In order to show that the assessment system has good applicability in the risk assessment of urban power supply system, the power supply system safety of one urban is assessed using established risk assessment system.

The quantitative area risk assessment (QARA) are definitted based on the characteristics of the area risk assessment, and the model of the QARA are proposesed. Based on the accident consequences analysis method and the theory of grey correlation, it presents the risk correlation analysis method which is used to analysis the risk correlation value between the projects, and discusses the grading method of the risk correlation according to the smooth handling idea. The practical applying results show that the theory of risk correlation has a good practical in QARA.

Building space cooling load affected by lots of factors,was transient, multi-dimensional and highly interactive. A model of online least squares support vector machine (LS-SVM) was established to forecast the space cooling load of building, and correlation analysis was used to find out the main influencing factors, such as, dry-bulb temperature, solar irradiance, and so on. As an example, the hourly space cooling load of an office building in shanghai was investigated. The hourly space cooling load was firstly calculated by the simulation software of DEST, and then, an online LS-SVM model was presented to forecast the load. The simulation results showed that the online LS-SVM model was effective for space cooling load prediction.