这种混合方法的优点在于它继承了过滤方法和包装方法的优势,同时弥补了它们的不足。过滤方法具有高效性和计算速度快的特点,适用于大型数据集,但它们忽略了学习算法和特征之间的交互。包装方法考虑了这些交互作用,但需要大量计算资源,因为它们涉及评估大量的特征子集。通过在过滤器阶段使用相关性结果来引导包装器阶段的特征选...
forecasting model is high in nonlinear mapping ability and good in approximation performance, and has good robustness, and thus is suitable for processing unstable data; the photovoltaic power generation forecasting technology of the GRNN obviously improves the forecasting accuracy; the forecasting result ...
When large-scale photovoltaic (PV) power stations are connected to the power grid, it will have a serious impact on the security and stability of the power system1,2. Therefore, it is of great significance to predict the power generation of PV power stations quickly and accurately3. At pres...
Short-term photovoltaic power forecasting based on a new hybrid deep learning model incorporating transfer learning strategy The accurate prediction of photovoltaic (PV) power generation is an important basis for hybrid grid scheduling. With the expansion of the scale of PV power plants and the ...
A forecasting model based on Spiking neural network (SNN) was proposed to tackle with the problem of the forecasting of photovoltaic system (PVS) power generation. This neural network uses temporal encoding scheme with precise times of spikes, which is closer to the real biological neural system ...
Photovoltaic power generation forecasting device 申请(专利)号: KR20200006033 申请日: %Y-%m-%d 专利号: KR102136106B1 公开公告日: %Y-%m-%d 主分类号: H02S50 分类号: H02S50; G01J1/02; G06K9/32; H02J3 申请权利人: SALORIS CO., LTD. 发明设计人: 김현우; 이다훈 公开国代码: ...
Accuracy Improvement of Short-Term Photovoltaic Power Forecasting Based on PCA and PSO-BP Finally, the actual photovoltaic power generation data and meteorological data are used for example analysis. The prediction error of the proposed model is ... K Guo,X Cheng,J Shi - Asia Energy & ...
Given the stochastic characteristics of the Photovoltaic (PV) generation and to maintain the security and reliability of the power grid operation, finding a forecasting method with higher accuracy is a pressing need. Facing with this challenge, a novel prediction model that combines Convolutional ...
Forecasting electric power gener- ation in a photovoltaic power system for an energy network . Electrical Engineering in Japan,2009; 167 ( 4) : 16--23M. Kudo, A. Takeuchi, Y. Nozaki, H. Endo and J. Sumita, "Forecasting electric power generation in a photovoltaic power system for an ...
Photovoltaic power generation (PVPG) forecasting has attracted increasing research and industry attention due to its significance for energy management, infrastructure planning, and budgeting. Emerging deep learning (DL) models based on historical data have provided effective solutions for PVPG forecasting ...