Title :
Rough Sets and Cellular Automate Applied to Spatial Load Forecasting
Author :
Quan, Zhou ; Jin, Fu ; Xu, Liu ; Tao, Yang ; Cai-xin, Sun ; Jian, Li
Author_Institution :
State Key Lab. of Power Transm. Equip. & Syst. Security & New Technol., Chongqing Univ., Chongqing
Abstract :
A novel spatial load forecasting (SLF) methodology for distribution network is proposed, cellular automata (CA) theory is used to simulate the process of urban land-use dynamic development, and forecast future land-use types of small-areas. According to fact of urban development, ascertain iterative time and adjustive time of transition rules of CA. In order to eliminate redundancies, overcome faults that land-use rules is always static and suffer influence from subjectivity in traditional methods, rough sets (RS) theory is used to carry out attribute-reduction for potential influencing factors during adjustive time step by step, and obtain dynamic transition rules of CA. Finally, the validity of the proposed method is validated by an actual example.
Keywords :
cellular automata; distribution networks; load forecasting; rough set theory; cellular automata theory; distribution network; dynamic transition rules; rough set theory; spatial load forecasting; Decision making; Iterative methods; Lattices; Load forecasting; Mathematical model; Power engineering and energy; Predictive models; Rough sets; Sun; Voltage; cellular automata; land-use decision-making; rough sets; spatial load forecasting; transition rules;
Conference_Titel :
High Voltage Engineering and Application, 2008. ICHVE 2008. International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-3823-5
Electronic_ISBN :
978-1-4244-2810-6
DOI :
10.1109/ICHVE.2008.4774044
