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 ...
Short-term wind speed prediction is an indispensable part of the operation and control of wind energy power generation systems. However, many prediction models proposed by researchers did not preprocess the original data or consider the limitations of a single prediction model, resulting in poor ...
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
Accurate wind speed forecasting is of great importance for many economic, business and management sectors. This paper introduces a new model based on convolutional neural networks (CNNs) for wind speed prediction tasks. In particular, we show that compared to classical CNN-based models, the propose...
Therefore, to improve the prediction accuracy at a target location, this study proposes a multiple-point model based on data from multiple locations for short-term wind speed prediction. The model, which utilizes wind speed measurements from neighboring locations and combines the extreme learning ...
SHORT TERM WIND SPEED PREDICTION USING A NEW HYBRID MODEL WITH PASSIVE CONGREGATION pShort term wind speed predicting is essential in using wind energy as an alternative source of electrical power generation, thus the improvement of wind s... TA Aboueldahab - 《International Journal of Computers ...
Still, to the best of our knowledge, hybrid MLP-WOA has not been used for wind speed prediction, especially using the wind speed values of neighboring stations. So, the aim of this research is to investigate the capabilities of MLP-WOA model for wind speed forecasting for a set of ten ...
wind speed prediction values could be yielded by the linearity superposition for each prediction result.Compared with LS-SVM,the method proposed in this paper can obviously improve the prediction accuracy of short term wind speed and has strong adaptability as well as quite bright prospect for ...
Very Short-Term Wind Speed Prediction of a Wind Farm Based on Artificial Neural Network Wind speed prediction is critical for wind energy conversion system since it not only can relieve or avoid the disadvantageous impact on power system, but ... R Ma,SJ Hu,HH Xu - 《Advanced Materials Res...
This paper aims to develop a wind speed prediction model by utilizing deep learning and neural networks. The analysis of weather data using a neural network architecture has been completed. The Long Short-Term Memory (LSTM) architecture is a type of artificial Recurrent Neural Network (RNN) used...