Short-term load forecasting based on a rough fuzzy-neural network

A hybrid model Integrating with rough set theory and fuzzy neural network is presented for short-term load forecasting. Multi-objective genetic algorithm is used to learn automatically the knowledge of historical data set and find the best factors that are relevant to electric loads, and the crude domain knowledge extracted from the elementary data set is applied to design the structure and weights of the neural network. Simulation results demonstrate that the rough fuzzy neural network has better precision and convergence than the traditional fuzzy neural network. Moreover, it becomes easier to understand the transferring way of knowledge in neural network. Index Terms--Rough set, Fuzzy-neural network, Multiobjective genetic algorithm, Short-term load forecasting, Data miningThis work is supported by NSF of Zhejiang Province, China (No. 502053) Li Feng is a Ph.D. student in College of electrical engineering,

show abstract

Performance of the novel rough fuzzy-neural network on short-term load forecasting

Liu

Jia-ju

Cao

IEEE PES Power Systems Conference and Exposition, 2004.

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Short-term load forecasting based on a rough fuzzy-neural network

Cited by 1 publication

References 9 publications

Performance of the novel rough fuzzy-neural network on short-term load forecasting

Performance of the novel rough fuzzy-neural network on short-term load forecasting

Contact Info

Product

Resources

About