Advances in reducing hydrogen effect of pipeline steels on hydrogen-blended natural gas transportation: A systematic review of mitigation strategies

YQ Zhu, W Song, HB Wang, JT Qi, RC Zeng… - … and Sustainable Energy …, 2024 - Elsevier
Utilization and transportation of hydrogen energy are considered an inevitable trend toward
achieving global zero CO 2 emission. It is predicted that the utilization and storage of natural …

[HTML][HTML] Comprehensive study of the artificial intelligence applied in renewable energy

A Bennagi, O AlHousrya, DT Cotfas, PA Cotfas - Energy Strategy Reviews, 2024 - Elsevier
In the innovative domain of sustainable and renewable energy, artificial intelligence
incorporation has appeared as a critical stimulant for improving productivity, cutting costs …

The univariate model for long-term wind speed forecasting based on wavelet soft threshold denoising and improved Autoformer

G Ban, Y Chen, Z **ong, Y Zhuo, K Huang - Energy, 2024 - Elsevier
Accurate wind speed prediction is crucial for effective wind power grid integration and
energy dispatching. Recent research has explored the combination of decomposition …

[HTML][HTML] DeepVELOX: INVELOX wind turbine intelligent power forecasting using hybrid GWO–GBR algorithm

A Safari, H Kheirandish Gharehbagh, M Nazari Heris - Energies, 2023 - mdpi.com
The transition to sustainable electricity generation depends heavily on renewable energy
sources, particularly wind power. Making precise forecasts, which calls for clever predictive …

P2P trading mode for real-time coupled electricity and carbon markets based on a new indicator green energy

L Wang, Y Zhang, Z Li, Q Huang, Y **ao, X Yi, Y Ma… - Energy, 2023 - Elsevier
The carbon trading market has introduced new opportunities for the low-carbon
transformation of China's power industry. To realize real-time coupling of the electric–carbon …

An intelligent hybrid method based on Monte Carlo simulation for short-term probabilistic wind power prediction

AA Abdoos, H Abdoos, J Kazemitabar… - Energy, 2023 - Elsevier
Precise estimation of wind power is exceedingly challenging due to the quick and random
fluctuations in wind speed. Therefore, this article presents a probabilistic intelligent method …

[HTML][HTML] Comparative analysis of Weibull parameters estimation for wind power potential assessments

AK Yadav, H Malik, V Yadav, MA Alotaibi… - Results in …, 2024 - Elsevier
There are many renewable energy sources available, especially wind energy, but it is not
being fully utilized. In the wind energy industry, Wind Power Potential (WPP) is essential …

[HTML][HTML] Peer-to-peer power energy trading in blockchain using efficient machine learning model

M Rahman, S Chowdhury, M Shorfuzzaman… - Sustainability, 2023 - mdpi.com
The advancement of mircogrids and the adoption of blockchain technology in the energy-
trading sector can build a robust and sustainable energy infrastructure. The decentralization …

[HTML][HTML] Renewable energy role in climate stabilization and water consumption minimization in Jordan

A Al-Quraan, H Darwish, AMA Malkawi - Processes, 2023 - mdpi.com
Climate change is one of the most essential phenomena studied by several researchers in
the last few decades. The main reason this phenomenon occurs is greenhouse gases …

A novel ultra short-term wind power prediction model based on double model coordination switching mechanism

M Yang, D Wang, W Zhang - Energy, 2024 - Elsevier
Ultra-short-term wind power provides technical support for unit control and scheduling to
optimize the power system. Wind fluctuation is the main factor that makes it difficult to …