Current perspective on the accuracy of deterministic wind speed and power forecasting

MU Yousuf, I Al-Bahadly, E Avci - IEEE Access, 2019 - ieeexplore.ieee.org
The intermittent nature of wind energy raised multiple challenges to the power systems and
is the biggest challenge to declare wind energy a reliable source. One solution to overcome …

A novel ensemble system for short-term wind speed forecasting based on Two-stage Attention-Based Recurrent Neural Network

Z Zhang, J Wang, D Wei, T Luo, Y Xia - Renewable Energy, 2023 - Elsevier
As the energy crisis intensifies, wind energy generated by wind turbines, commonly known
as a promising renewable energy source, is being more frequently employed. As a result …

Driving factors of CO2 emissions and nexus with economic growth, development and human health in the Top Ten emitting countries

A Mohmmed, Z Li, AO Arowolo, H Su, X Deng… - Resources …, 2019 - Elsevier
This study explored the drivers of carbon dioxide (CO 2) emission (million metric tons) in the
top 10 emitting countries (China, United States, India, Russian Federation, Japan, Germany …

Modes decomposition forecasting approach for ultra-short-term wind speed

Z Tian - Applied Soft Computing, 2021 - Elsevier
The accurate forecasting of ultra-short-term wind speed is of great significance in theory and
practice. This paper proposes a modes decomposition forecasting approach based on …

Integration of emerging resources in IGDT-based robust scheduling of combined power and natural gas systems considering flexible ramping products

MA Mirzaei, A Sadeghi-Yazdankhah… - Energy, 2019 - Elsevier
Wind energy sources have created new challenges in power system scheduling to follow the
network load. Gas fired units with high ramping could better deal with inherent uncertainties …

[HTML][HTML] Experimental evaluation of dynamic operating concepts for alkaline water electrolyzers powered by renewable energy

J Brauns, T Turek - Electrochimica Acta, 2022 - Elsevier
Synthetic current density profiles with wind and photovoltaic power characteristics were
calculated by autoregressive-moving-average (ARMA) models for the experimental …

[HTML][HTML] A combination forecasting model of wind speed based on decomposition

Z Tian, H Li, F Li - Energy Reports, 2021 - Elsevier
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 …

[PDF][PDF] 融合CEEMDAN 和ICS-LSTM 的短期风速预测建模

王贺, 陈蕻峰, 熊敏, 刘素梅 - 电子测量与仪器学报, 2022 - jemi.cnjournals.com
为提高风速预测精度, 本文从挖掘风速数据可预测性和优化预测模型性能两方面出发,
提出一种融合完全经验模态分解(CEEMDAN) 和改进的布谷鸟算法优化长短期记忆深度神经 …

A modified GM (1, 1) model to accurately predict wind speed

MU Yousuf, I Al-Bahadly, E Avci - Sustainable Energy Technologies and …, 2021 - Elsevier
Grey prediction models are suitable for uncertain systems and are recognized as a versatile
wind energy forecasting technique. However, the traditional model has a disadvantage of …

Self-powered wireless sensor system for water monitoring based on low-frequency electromagnetic-pendulum energy harvester

M Li, Y Zhang, K Li, Y Zhang, K Xu, X Liu, S Zhong… - Energy, 2022 - Elsevier
Using wireless sensor network technology to monitor water quality has the advantages of
high real-time and low cost, which is very helpful for preventing water pollution. However …