In NC China, the wind speed is strongly related to two neighbouring geopotential height anomalies. Cross-validated linear regression models using the above climate indices give similar skill to using the direct model wind predictions in both regions. The model also has significant skill in predicting...
Hu and Chen proposed a nonlinear combined model of LSTM and ELM for short-term wind speed prediction in China [33]. Liu et al. applied variational mode decomposition and singular spectrum analysis to decompose the wind speed series into high and low frequency parts, whereafter LSTM was utilized...
Kerem, "Short-Term Wind Speed Prediction Based on Artificial Neural Network Models," Sage Journals, 2016.I. Kirbas and A. Kerem, "Short-Term Wind ... Kirbas,Ismail,Kerem,... - Measurement & Control (0020-2940) 被引量: 7发表: 2016年 Prediction of Wind Power Generation based on Chaotic...
Singh SN, Mohapatra A (2019) Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting. Renew energy 136:758–768 Article Google Scholar Li W, Jia X, Li X et al (2021) A Markov model for short term wind speed prediction by integrating the wind acceleration ...
Wind energy, as a renewable energy source, offers the advantage of clean and pollution-free power generation. Its abundant resources have positioned wind power as the fastest-growing and most widely adopted method of electricity generation. Wind speed st
The output of the wind turbine can be calculated by the wind speed,thus it is very important to improve the prediction accuracy of wind speed,so that impact on grid by wind power integration can be reduced, and wind energy resources can be reasonably scheduled. Considering the time continuity...
Wind speed reconstruction using a novel Multivariate Probabilistic method and Multiple Linear Regression: advantages compared to the single correlation app... Multivariate methods can improve wind speed prediction accuracy under specific conditions. In this work, Multiple Linear Regression (MLR) and Multiple...
of the wind speed prediction is improved in hybrid approaches in Osório et al. [14–17]. Most of the proposed techniques use single learners and those are not steady in most of the changing weather conditions. If more predictors are included simultaneously, it increases the prediction error. ...
The wind speed changes in Qingdao are analyzed on the basis of annual average wind speed data from Qingdao Station from 1899 to 2015 and daily wind speed data from 88 automatic stations in Qingdao from 1961 to 2015 together with NCEP/NCAR re-analyses. The results show that in the context ...
A combined filtering strategy for short term and long term wind speed prediction with improved accuracy Renew. Energy (2019) A.Charneset al. Measuring the efficiency of decision making units Eur. J. Oper. Res. (1978) M.A.Chitsazanet al. ...