Research on assessment and forewarning model of power marketing condition based on cloud measure theory
Yang Wu · Power System Protection and Control · 2013
With the acceleration of electricity marketization and smart grid process, power enterprises have to change their traditional marketing model. The types and structures of power marketing information become more and more complicate under new situation. How to implement low-loss conversion of complicate information to minimize the information losses during the cognitive process and make the result of assessing and forewarning the power marketing condition more objective and precise is very important for power enterprises to improve their management and decision making level. In this paper, we present a model of assessing and forewarning power marketing condition based on cloud measure theory. Through establishing cloud models of power marketing condition and assessment indexes, we accomplish fuzzy boundary of assessment interval and low-loss transformation between qualitative and quantitative indexes. At last, through cloud measure analyzing based on cloud gravity center, we can draw an objective conclusion of power marketing condition. The model based on cloud measure theory provides a new method for power marketing management. The result of example verifies the feasibility and practicability of new model.