An overview of deterministic and probabilistic forecasting methods of wind energy
In recent years, a variety of wind forecasting models have been developed, prompting
necessity to review the abundant methods to gain insights of the state-of-the-art …
necessity to review the abundant methods to gain insights of the state-of-the-art …
[HTML][HTML] A novel approach to ultra-short-term wind power prediction based on feature engineering and informer
H Wei, W Wang, X Kao - Energy Reports, 2023 - Elsevier
Wind power is prone to dramatic fluctuations in the short term, posing a threat to the safety
and stability of the grid, so accurate forecasting of ultra-short-term wind power is important to …
and stability of the grid, so accurate forecasting of ultra-short-term wind power is important to …
An improved multi-step forecasting model based on WRF ensembles and creative fuzzy systems for wind speed
Accurate wind speed forecasting, which strongly influences the safe usage of wind
resources, is still a critical issue and a huge challenge. At present, the single-valued …
resources, is still a critical issue and a huge challenge. At present, the single-valued …
Wind turbine power output prediction using a new hybrid neuro-evolutionary method
Short-term wind power prediction is challenging due to the chaotic characteristics of wind
speed. Since, for wind power industries, designing an accurate and reliable wind power …
speed. Since, for wind power industries, designing an accurate and reliable wind power …
Direct interval forecast of uncertain wind power based on recurrent neural networks
Interval forecast is an efficient method to quantify the uncertainties in renewable energy
production. In this paper, the idea of prediction intervals (PIs) is employed to capture the …
production. In this paper, the idea of prediction intervals (PIs) is employed to capture the …
RETRACTED: Artificial neural networks applications in wind energy systems: A review
R Ata - 2015 - Elsevier
One of the conditions of submission of a paper for publication is that authors declare
explicitly that their work is original and has not been submitted to nor appeared in another …
explicitly that their work is original and has not been submitted to nor appeared in another …
A new air quality monitoring and early warning system: Air quality assessment and air pollutant concentration prediction
Z Yang, J Wang - Environmental research, 2017 - Elsevier
Air pollution in many countries is worsening with industrialization and urbanization, resulting
in climate change and affecting people's health, thus, making the work of policymakers more …
in climate change and affecting people's health, thus, making the work of policymakers more …
Comparison of two new intelligent wind speed forecasting approaches based on wavelet packet decomposition, complete ensemble empirical mode decomposition …
H Liu, X Mi, Y Li - Energy Conversion and Management, 2018 - Elsevier
The wind speed forecasting is an important technology for the management of the wind
energy. In this study, a new hybrid framework using the WPD (Wavelet Packet …
energy. In this study, a new hybrid framework using the WPD (Wavelet Packet …
Deterministic and probabilistic interval prediction for short-term wind power generation based on variational mode decomposition and machine learning methods
Y Zhang, K Liu, L Qin, X An - Energy Conversion and Management, 2016 - Elsevier
Due to the increasingly significant energy crisis nowadays, the exploitation and utilization of
new clean energy gains more and more attention. As an important category of renewable …
new clean energy gains more and more attention. As an important category of renewable …
Research of a novel short-term wind forecasting system based on multi-objective Aquila optimizer for point and interval forecast
Facing the increasing depletion of traditional energy resources and the worsening
environmental issues, wind energy sources have been widely considered. As an essential …
environmental issues, wind energy sources have been widely considered. As an essential …