Machine learning-driven wind energy mapping enhanced by natural neighbor interpolation DOI Open Access
Djoko Adı Widodo, Nur Iksan

Journal of Energy Systems, Journal Year: 2024, Volume and Issue: 8(4), P. 193 - 206

Published: Dec. 30, 2024

In the present work, a prediction on wind energy potential in Semarang City (Central Java Province, Indonesia) has been performed by leveraging novel combination of machine learning and natural neighbor interpolation (NNI) methodology. This integrated approach uniquely combines predictive power to estimate speeds based historical spatial data, with mapping capabilities NNI, which provides more accurate seamless visualization speed distribution. addresses challenges data sparsity variability, offering reliable localized than traditional methods. Additionally, air density is considered calculate density, enabling comprehensive evaluation potential. The results show an average monthly 5.23 m/s, ranging from 3.38 m/s 7.39 m/s. Wind between 7 10 are predicted occur for up months annually, estimated 102.7 W/m². These findings underscore feasibility small-scale generation study area provide actionable insights advancing renewable policies implementations at local level.

Language: Английский

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

Guihua Ban,

Yan Chen, Zhenhua Xiong

et al.

Energy, Journal Year: 2024, Volume and Issue: 290, P. 130225 - 130225

Published: Jan. 1, 2024

Language: Английский

Citations

19
Comprehensive study of the artificial intelligence applied in renewable energy DOI Creative Commons

Aseel Bennagi,

Obaida AlHousrya, Daniel Tudor Cotfas

et al.

Energy Strategy Reviews, Journal Year: 2024, Volume and Issue: 54, P. 101446 - 101446

Published: June 4, 2024

In the innovative domain of sustainable and renewable energy, artificial intelligence incorporation has appeared as a critical stimulant for improving productivity, cutting costs, addressing complex difficulties. However, all reported advancement over recent years, their experimental implementations, challenges associated have not been covered by single source. Hence, this review aims to give data source get recent, advanced detailed outlook on applications in energy technologies systems along with examples implementation. More than 150 research reports were retrieved from different bases keywords selection criteria maintain relevance. This specifically explored diverse approaches wide range sources innovations spanning solar power, photovoltaics, microgrid integration, storage power management, wind, geothermal comprehensively. The current technological advances, outcomes, case studies implications are discussed, potential possible solutions. expected advancements trends near future also discussed which can gateway researchers, investigators engineers look resolve already associated.

Language: Английский

Citations

18
A novel energy pattern factor-based optimized approach for assessing Weibull parameters for wind power applications DOI Creative Commons
Ghulam Abbas, Arshad Ali, Mohamed Tahar Ben Othman

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 2, 2025

Language: Английский

Citations

2
Advances in reducing hydrogen effect of pipeline steels on hydrogen-blended natural gas transportation: A systematic review of mitigation strategies DOI Open Access

Yongqiang Zhu,

Wei Song, Hanbing Wang

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2023, Volume and Issue: 189, P. 113950 - 113950

Published: Oct. 23, 2023

Language: Английский

Citations

29
Comparative analysis of Weibull parameters estimation for wind power potential assessments DOI Creative Commons
Amit Yadav, Hasmat Malik,

Vibha Yadav

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102300 - 102300

Published: May 31, 2024

There are many renewable energy sources available, especially wind energy, but it is not being fully utilized. In the industry, Wind Power Potential (WPP) essential since critical to development, operation, and optimization of power plants. WPP plays a significant role in project life cycle, impacting site selection, viability, technology choices, ultimate success. This means that specific for certain places need be determined development industry. The goal this study conduct statistical comparison analysis efficacy various numerical methods, including method moments (MoM), pattern factor (EPFM), maximum likelihood (MLM), density (EDM), Sathyajith (EPFMS), Rayleigh's distribution (Rayl), novel (NEPFM). These methods compared different sites Andhra Pradesh India. NEPFM considered most effective approach assessing regions Visakhapatnam, Amaravati, Tirupati. Conversely, MLM (Modified Logarithmic Model) technique has demonstrated superior performance evaluating potential specifically Rajamahendravaram site. Rayleigh distribution, also known as Rayl., was utilized primary calculating probability geographical Rajamahendravaram, Amaravati. Additionally, employed analyze found suitable model estimating cumulative locations Visakhapatnam Similarly, innovative recommended analyzing

Language: Английский

Citations

9
DeepVELOX: INVELOX Wind Turbine Intelligent Power Forecasting Using Hybrid GWO–GBR Algorithm DOI Creative Commons
Ashkan Safari,

Hamed Kheirandish Gharehbagh,

Morteza Nazari‐Heris

et al.

Energies, Journal Year: 2023, Volume and Issue: 16(19), P. 6889 - 6889

Published: Sept. 29, 2023

The transition to sustainable electricity generation depends heavily on renewable energy sources, particularly wind power. Making precise forecasts, which calls for clever predictive controllers, is a crucial aspect of maximizing the efficiency turbines. This study presents DeepVELOX, new methodology. With this method, sophisticated machine learning methods are smoothly incorporated into power systems. Increased Velocity (IN-VELOX) turbine framework combines Gradient Boosting Regressor (GBR) with Grey Wolf Optimization (GWO) algorithm. Predictive capabilities entering age thanks integration. research its structure, and results. In particular, considerable performance DeepVELOX. MAPE 0.0002 an RMSPE 0.0974, it gets outstanding Key Performance Indicator (KPI) criteria Accuracy, F1-Score, R2-Score, Precision, Recall, value 1, further emphasize performance. result process MSE 0.0352. significant reduction in forecast disparities made possible by system’s remarkable accuracy. Along improving accuracy, integration algorithms, including GBR, GWO algorithm, operations, offer dynamic capture.

Language: Английский

Citations

15
An intelligent hybrid method based on Monte Carlo simulation for short-term probabilistic wind power prediction DOI
Ali Akbar Abdoos,

Hatef Abdoos,

Javad Kazemitabar

et al.

Energy, Journal Year: 2023, Volume and Issue: 278, P. 127914 - 127914

Published: May 25, 2023

Language: Английский

Citations

14
Peer-to-Peer Power Energy Trading in Blockchain Using Efficient Machine Learning Model DOI Open Access

Mahfuzur Rahman,

Solaiman Chowdhury,

Mohammad Shorfuzzaman

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(18), P. 13640 - 13640

Published: Sept. 12, 2023

The advancement of mircogrids and the adoption blockchain technology in energy-trading sector can build a robust sustainable energy infrastructure. decentralization transparency have several advantages for data management, security, trust. In particular, uses smart contracts provide automated transaction trading. Individual entities (household, industries, institutes, etc.) shown increasing interest producing power from potential renewable sources their own usage also distributing this to market if possible. key success trading significantly depends on understanding one’s demand production capability. For example, solar panel is highly correlated with weather condition, an efficient machine learning model characterize relationship estimate at any time. article, we propose architecture that conjunction algorithm determine participants’ appropriate productions streamline auction process. We conducted analysis various models identify best suited be used contract

Language: Английский

Citations

13
P2P trading mode for real-time coupled electricity and carbon markets based on a new indicator green energy DOI

Longze Wang,

Yan Zhang, Zhehan Li

et al.

Energy, Journal Year: 2023, Volume and Issue: 285, P. 129179 - 129179

Published: Sept. 22, 2023

Language: Английский

Citations

13
Unlocking the potential: A review of artificial intelligence applications in wind energy DOI Creative Commons
Safa Dörterler, Seyfullah Arslan, Durmuş Özdemir

et al.

Expert Systems, Journal Year: 2024, Volume and Issue: 41(12)

Published: Aug. 27, 2024

Abstract This paper presents a comprehensive review of the most recent papers and research trends in fields wind energy artificial intelligence. Our study aims to guide future by identifying potential application areas intelligence machine learning techniques sector knowledge gaps this field. Artificial offer significant benefits advantages many sub‐areas, such as increasing efficiency facilities, estimating production, optimizing operation maintenance, providing security control, data analysis, management. focuses on studies indexed Web Science library between 2000 2023 using sub‐branches neural networks, other methods, mining, fuzzy logic, meta‐heuristics, statistical methods. In way, current methods literature are examined produce more efficient, sustainable, reliable energy, findings discussed for studies. evaluation is designed be helpful academics specialists interested acquiring broad perspective types uses seeking what subjects needed

Language: Английский

Citations

3