Results 21 to 30 of about 14,302 (309)
Verification of European Subseasonal Wind Speed Forecasts [PDF]
Monthly Weather Review, 2014 Abstract Analysis of the forecasts and hindcasts from the ECMWF 32-day forecast model reveals that there is statistically significant skill in predicting weekly mean wind speeds over areas of Europe at lead times of at least 14–20 days. Previous research on wind speed predictability has focused on the short- to medium-range time scales ...
Lynch, Kieran J. +2 more
openaire +1 more source
Probabilistic Prediction Intervals of Wind Speed Based on Explainable Neural Network
Frontiers in Energy Research, 2022 With the rapid growth of wind power penetration into modern power grids, wind speed forecasting plays an increasingly significant role in the planning and operation of electric power and energy systems.
Haoqi Huang, Yue Hong, Huaizhi Wang
doaj +1 more source
Comparative Analysis of Wind Speed Forecasting Using LSTM and SVM [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2020 The objective of this work is to present a comprehensive exploration of deep learning based wind forecasting model. The forecasting of speed of wind is called as the wind speed forecasting/prediction.
Satyam Gangwar, Vikram Bali, Ajay Kumar
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 +3 more
core +1 more source
Correction of wind power forecasting by considering wind speed forecast error [PDF]
Journal of International Council on Electrical Engineering, 2015 With the high penetration level of wind power in power systems, wind power generation is necessary to participate in the generation scheduling to balance supply and demand. If a power system operator wants wind power generation to participate in generation scheduling, wind power should be forecasted accurately.
Woong Ko, Don Hur, Jong-Keun Park
openaire +1 more source
Wind Derivatives: Modeling and Pricing [PDF]
, 2013 Wind is considered to be a free, renewable and environmentally friendly source of energy. However, wind farms are exposed to excessive weather risk since the power production depends on the wind speed, the wind direction and the wind duration.
Zapranis, Achilleas +1 more
core +1 more source
IEEE Access, 2019 Precise wind speed prediction is increasingly practical for sustained and stable wind energy utilization considering the growing portion of wind energy in the global electric grid. Although plenty of wind speed forecasting approaches have been devoted to
Lifang Zhang, Yao Dong, Jianzhou Wang
doaj +1 more source
Characterisation of large changes in wind power for the day-ahead market using a fuzzy logic approach [PDF]
, 2014 Wind power has become one of the renewable resources with a major growth in the electricity market. However, due to its inherent variability, forecasting techniques are necessary for the optimum scheduling of the electric grid, specially during ramp ...
Cant, R +9 more
core +1 more source
Deep Belief Networks With Genetic Algorithms in Forecasting Wind Speed
IEEE Access, 2019 Wind is one of the most essential sources of clean, renewable energy, and is, therefore, a critical element in responsible power consumption and production.
Kuo-Ping Lin, Ping-Feng Pai, Yi-Ju Ting
doaj +1 more source
A Hybrid Approach for Short‐Term Forecasting of Wind Speed [PDF]
The Scientific World Journal, 2013 We propose a hybrid method for forecasting the wind speed. The wind speed data is first decomposed into intrinsic mode functions (IMFs) with empirical mode decomposition. Based on the partial autocorrelation factor of the individual IMFs, adaptive methods are then employed for the prediction of IMFs.
Sivanagaraja Tatinati +1 more
openaire +3 more sources