Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Load forecasting is an important component for por system energy management system. Precise load forecasting helps the electric utility to make unit commitment decisions, reduce spinning reserve capacity and schedule device maintenance plan properly.  presents the development of a novel fuzzy wavelet neural network model and validates its prediction on the short-term electric load forecasting of the Por System of the Greek Island of Crete. In the proposed scheme, a wavelet neural network has replaced the classic TSK model in the consequent part, while subtractive clustering has been applied to the definition of fuzzy rules. The forecasting error statistical results, corresponding to the minimum and maximum load time-series, indicate that the proposed load forecasting model provides more accurate forecasts, compared to conventional neural networks models.
['Mahdi Amina', 'Vassilis Kodogiannis']
I am writing a research paper on a idea Load forecasting using fuzzy wavelet neural networks
[{"from": "human", "value": "I am writing a research paper on a idea Load forecasting using fuzzy wavelet neural networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Load forecasting is an important component for por system energy management system. Precise load forecasting helps the electric utility to make unit commitment decisions, reduce spinning reserve capacity and schedule device maintenance plan properly.  presents the development of a novel fuzzy wavelet neural network model and validates its prediction on the short-term electric load forecasting of the Por System of the Greek Island of Crete. In the proposed scheme, a wavelet neural network has replaced the classic TSK model in the consequent part, while subtractive clustering has been applied to the definition of fuzzy rules. The forecasting error statistical results, corresponding to the minimum and maximum load time-series, indicate that the proposed load forecasting model provides more accurate forecasts, compared to conventional neural networks models."}]