[HTML][HTML] An overview of deterministic and probabilistic forecasting methods of wind energy

Y Xie, C Li, M Li, F Liu, M Taukenova - Iscience, 2023 - cell.com
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 …

Wind turbine power output prediction using a new hybrid neuro-evolutionary method

M Neshat, MM Nezhad, E Abbasnejad, S Mirjalili… - Energy, 2021 - Elsevier
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 …

[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 …

An improved multi-step forecasting model based on WRF ensembles and creative fuzzy systems for wind speed

J Zhao, ZH Guo, ZY Su, ZY Zhao, X Xiao, F Liu - Applied Energy, 2016 - Elsevier
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 …

Direct interval forecast of uncertain wind power based on recurrent neural networks

Z Shi, H Liang, V Dinavahi - IEEE Transactions on Sustainable …, 2017 - ieeexplore.ieee.org
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 …

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 …

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 …

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 …

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 …

An optimized neuro-fuzzy system using advance nature-inspired Aquila and Salp swarm algorithms for smart predictive residual and solubility carbon trapping …

MAA Al-qaness, AA Ewees, HV Thanh… - Journal of Energy …, 2022 - Elsevier
Carbon dioxide (CO 2) emission is an emergency issue in terms of environmental pollution.
Estimation of carbon capture, utilization, and storage (CCUS) is a necessary task that …