A review of wind speed and wind power forecasting with deep neural networks

Y Wang, R Zou, F Liu, L Zhang, Q Liu - Applied Energy, 2021 - Elsevier
The use of wind power, a pollution-free and renewable form of energy, to generate electricity
has attracted increasing attention. However, intermittent electricity generation resulting from …

A review of wind power and wind speed forecasting methods with different time horizons

SS Soman, H Zareipour, O Malik… - North American power …, 2010 - ieeexplore.ieee.org
In recent years, environmental considerations have prompted the use of wind power as a
renewable energy resource. However, the biggest challenge in integrating wind power into …

A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer

A Altan, S Karasu, E Zio - Applied Soft Computing, 2021 - Elsevier
Reliable and accurate wind speed forecasting (WSF) is fundamental for efficient exploitation
of wind power. In particular, high accuracy short-term WSF (ST-WSF) has a significant …

A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting

Y Hao, C Tian - Applied energy, 2019 - Elsevier
With the fast growth of wind power penetration into the electric grid, wind power forecasting
plays an increasingly significant role in the secure and economic operation of power …

Multistep forecasting for diurnal wind speed based on hybrid deep learning model with improved singular spectrum decomposition

X Yan, Y Liu, Y Xu, M Jia - Energy Conversion and Management, 2020 - Elsevier
The actual wind speed data suffers from the intermittent and fluctuating property, which
implies that it is very difficult to forecast wind speed with high accuracy by applying single or …

An improved neural network-based approach for short-term wind speed and power forecast

GW Chang, HJ Lu, YR Chang, YD Lee - Renewable energy, 2017 - Elsevier
Accurate forecasts of wind speed and wind power generation are essential for the effective
operation of a wind farm. This paper presents an improved radial basis function neural …

Current status of wind energy forecasting and a hybrid method for hourly predictions

I Okumus, A Dinler - Energy Conversion and Management, 2016 - Elsevier
Generating accurate wind energy and/or power forecasts is crucially important for energy
trading and planning. The present study initially gives an extensive review of recent …

A review on the forecasting of wind speed and generated power

M Lei, L Shiyan, J Chuanwen, L Hongling… - … and sustainable energy …, 2009 - Elsevier
In the world, wind power is rapidly becoming a generation technology of significance.
Unpredictability and variability of wind power generation is one of the fundamental …

A novel bidirectional mechanism based on time series model for wind power forecasting

Y Zhao, L Ye, Z Li, X Song, Y Lang, J Su - Applied energy, 2016 - Elsevier
A novel bidirectional mechanism and a backward forecasting model based on extreme
learning machine (ELM) are proposed to address the issue of ultra-short term wind power …

Short-term wind speed prediction using an unscented Kalman filter based state-space support vector regression approach

K Chen, J Yu - Applied energy, 2014 - Elsevier
Accurate wind speed forecasting is becoming increasingly important to improve and
optimize renewable wind power generation. Particularly, reliable short-term wind speed …