Malixole Sambane
Papers
1
Total Citations
5
H-Index
1
About
Dr. Malixole Sambane is a leading researcher in artificial intelligence and renewable energy systems, with a particular focus on advancing neural network methodologies for sustainable power generation. His most-cited work, "Advanced neural network and hybrid models for wind power forecasting: a comprehensive global review" (2024, 5 citations), provides a systematic examination of neural network algorithms (NNAs) inspired by biological neurons. This seminal review critically evaluates how these algorithms—integral to data mining, robotics, and AI—are being adapted to address the complex challenges of wind energy forecasting. By synthesizing global advances in hybrid and deep learning models, Sambane’s research bridges the gap between theoretical AI development and practical renewable energy applications. His contributions offer a roadmap for improving the accuracy and reliability of wind power predictions, a critical step toward integrating variable renewable sources into power grids. Through this work, Sambane has established himself as a key voice at the intersection of computational intelligence and clean energy technology, providing researchers and engineers with essential frameworks for developing more efficient, data-driven forecasting systems that support the global transition to sustainable energy.
Research Focus
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Top Papers
- 1