Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a new hybrid intelligent technique for very short-term wind por forecasting (VSWPF) based on the combination of wavelet transform (WT), similar day (SD) method, and emotional neural networks (ENN), i.e., WT+SD+ENN. The forecasting procedure using the proposed hybrid WT+SD+ENN intelligent model involves the refinement of the forecasted output obtained from the SD method by an application of ENN. The predicting performance of the proposed hybrid model is compared with the benchmark persistence method and other hybrid intelligent models in terms of mean absolute percentage error (MAPE), mean absolute error (MAE) and root mean square error (RMSE).
['Ramya M. Peri', 'Paras Mandal', 'Ashraf Ul Haque', 'Bill Tseng']
I am writing a research paper on a idea Very short-term prediction of wind farm power: An advanced hybrid intelligent approach
[{"from": "human", "value": "I am writing a research paper on a idea Very short-term prediction of wind farm power: An advanced hybrid intelligent approach"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a new hybrid intelligent technique for very short-term wind por forecasting (VSWPF) based on the combination of wavelet transform (WT), similar day (SD) method, and emotional neural networks (ENN), i.e., WT+SD+ENN. The forecasting procedure using the proposed hybrid WT+SD+ENN intelligent model involves the refinement of the forecasted output obtained from the SD method by an application of ENN. The predicting performance of the proposed hybrid model is compared with the benchmark persistence method and other hybrid intelligent models in terms of mean absolute percentage error (MAPE), mean absolute error (MAE) and root mean square error (RMSE)."}]