Cite Article
Cite Article
MLA
Aikhuele, Daniel Osezua, et al. "Intelligent and Data-Driven Reliability Evaluation Model for Wind Turbine Blades." IJEOE vol.11, no.1 2022: pp.1-20. http://doi.org/10.4018/IJEOE.298694
APA
Aikhuele, D. O., Periola, A. A., Aigbedion, E., & Nwosu, H. U. (2022). Intelligent and Data-Driven Reliability Evaluation Model for Wind Turbine Blades. International Journal of Energy Optimization and Engineering (IJEOE), 11 (1), 1-20. http://doi.org/10.4018/IJEOE.298694
Chicago
Aikhuele, Daniel Osezua, et al. "Intelligent and Data-Driven Reliability Evaluation Model for Wind Turbine Blades," International Journal of Energy Optimization and Engineering (IJEOE) 11, no.1: 1-20. http://doi.org/10.4018/IJEOE.298694
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International Journal of Energy Optimization and Engineering (IJEOE) The International Journal of Energy Optimization and Engineering (IJEOE) publishes global research in the areas of energy optimization and engineering. This journal provides relevant theoretical frameworks and the latest empirical research findings in the areas of energy systems and hybrid intelligent optimization. This interdisciplinary journal examines and encourages research within energy optimization and engineering fields, including novel meta-heuristics optimization techniques such as fuzzy logic, neural networks, evolutionary algorithms, mathematical programming, pattern search, particle swarm optimization, ant colony optimization, and hybrid optimization in a variety of engineering, science, business, and energy systems of real world practical application problems.
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