Title :
Market share forecast of electricity in city residents’ energy consumption based on Markov theory
Author :
Zhou, Hui ; Wang, Yi ; Wang, Wei ; Zhao, Yuan
Author_Institution :
Sch. of Electr. Power Eng., Beijing Jiaotong Univ., Beijing
Abstract :
It is very necessary to be clear about the market share that electricity accounts for the whole energy consumption of city residents´ under the circumstance of market, with Markov prediction theory and data from Qinhuangdao electricity market investigation, forecast have been done on market share of residential energy consumption items such as heating, cooking, cooling etc., which is valuable reference for electricity company to be realize the prospect of every subdivision marketing in order to make corresponding management strategy.
Keywords :
Markov processes; load forecasting; power consumption; power markets; Markov prediction theory; Qinhuangdao electricity market investigation; city residents energy consumption; electricity market share forecast; Cities and towns; Cooling; Economic forecasting; Electricity supply industry; Energy consumption; Energy management; Load forecasting; Marketing management; Prediction theory; Resistance heating; Markov theory; city residents; energy market; market prediction; market share;
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
Conference_Location :
Nanjuing
Print_ISBN :
978-7-900714-13-8
Electronic_ISBN :
978-7-900714-13-8
DOI :
10.1109/DRPT.2008.4523417
