An improved residual-based convolutional neural network for very short-term wind power forecasting
Author:
Publisher
Elsevier BV
Subject
Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment
Reference39 articles.
1. Wind power prediction using hybrid autoregressive fractionally integrated moving average and least square support vector machine;Yuan;Energy,2017
2. A novel hybrid model for wind speed prediction based on VMD and neural network considering atmospheric uncertainties;Zhang;IEEE Access,2019
3. A hybrid model based on synchronous optimisation for multi-step short-term wind speed forecasting;Li;Appl Energy,2018
4. A hybrid wind power forecasting model based on data mining and wavelets analysis;Azimi;Energy Convers Manag,2016
5. Wang H zhi, Li G qiang, Wang G bing, Peng J chun, Jiang H, Liu Y tao. Deep learning based ensemble approach for probabilistic wind power forecasting. Appl Energy 2017;188:56–70. doi: 10.1016/j.apenergy.2016.11.111.
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