Results 21 to 30 of about 2,638,880 (299)
, 2009 This paper aims at providing a general class of stochastic models for hourly average wind speed time series taking into account all the main features of wind speed data, namely autocorrelation, non-Gaussian distribution, seasonal and diurnal nonstationarity.
BONANNO, Giovanni +2 more
openaire +2 more sources
Feature selection in wind speed forecasting systems based on meta-heuristic optimization. [PDF]
PLoS One, 2023 Technology for anticipating wind speed can improve the safety and stability of power networks with heavy wind penetration. Due to the unpredictability and instability of the wind, it is challenging to accurately forecast wind power and speed.
El-Kenawy EM +6 more
europepmc +2 more sources
Sequential Aggregation of Probabilistic Forecasts - Applicaton to Wind Speed Ensemble Forecasts [PDF]
Journal of the Royal Statistical Society Series C: Applied Statistics, 2021 <p>Sequential aggregation is a theoretically-grounded means to combine several forecasts of a quantity to achieve better forecast performance as evaluated by a loss function. This theory has been mainly applied to point forecasts with a scalar forecast quantity, but rarely to forecasts expressed in a probabilistic form.
Zamo, Michaël +2 more
openaire +5 more sources
Short-Term Wind Speed Forecasting Model Based on Mutual Information and Recursive Neural Network
Shanghai Jiaotong Daxue xuebao, 2021 The volatility and randomness of wind speed have caused potential safety hazards to wind power grid integration. Improving wind speed forecasting is crucial to the stability of wind power systems and the development of wind energy.
WANG Yan, CHEN Yaoran, HAN Zhaolong, ZHOU Dai, BAO Yan
doaj +1 more source
A combination forecasting model of wind speed based on decomposition
Energy Reports, 2021 Due to the intermittent, fluctuating and random characteristics of wind system, the output of wind power will become unstable with the change of wind, which brings severe challenges to the safe and stable operation of the power system.
Zhongda Tian, Hao Li, Feihong Li
doaj +1 more source
Atmosphere, 2023 Wind speed forecasting is advantageous in reducing wind-induced accidents or disasters and increasing the capture of wind power. Accordingly, this forecasting process has been a focus of research in the field of engineering.
Xuhui He +3 more
doaj +1 more source
Using conditional kernel density estimation for wind power density forecasting [PDF]
, 2012 Of the various renewable energy resources, wind power is widely recognized as one of the most promising. The management of wind farms and electricity systems can benefit greatly from the availability of estimates of the probability distribution of wind ...
Jeon, Jooyoung, Taylor, James
core +4 more sources
Frontiers in Energy Research, 2022 Accurate short-term wind power forecasting (WPF) plays a crucial role in grid scheduling and wind power accommodation. Numerical weather prediction (NWP) wind speed is the fundamental data for short-term WPF.
Yu Li +7 more
doaj +1 more source
Energy Reports, 2022 With the aims to improve the forecasting performance, a novel hybrid model based on variational mode decomposition (VMD), phase space reconstruction (PSR), improved water cycle algorithm (WCA) and double activation function wavelet neural network (DAWNN)
Ying Meng +3 more
doaj +1 more source
A cyclo-stationary complex multichannel wiener filter for the prediction of wind speed and direction [PDF]
, 2013 This paper develops a linear predictor for application to wind speed and direction forecasting in time and across different sites. The wind speed and direction are modelled via the magnitude and phase of a complex-valued time-series.
Dowell, Jethro +3 more
core +4 more sources