@inbook{9e4a8fdd46f84b9d8a2fdf9ed7d2b1f9,
title = "A Survey on Optimization Techniques and Modeling Tools in Sustainable Energy Planning",
abstract = "The search for optimal methods and strategies to achieve efficient and environmentally friendly energy systems is at the core of optimization techniques in sustainable energy planning. This book chapter delves into the interdisciplinary field of sustainable energy planning, emphasizing the central role of optimization techniques in addressing the complexities of energy resource allocation, demand management and environmental impact reduction. The chapter explores mathematics and advanced algorithms in the context of energy infrastructure optimization tools, demonstrating the importance of their use in achieving sustainability goals. Real-world case studies and examples illustrate the practical application of these techniques, providing readers with valuable insights into the intricacies of designing and managing sustainable energy systems. As the global pursuit of clean energy intensifies, this chapter serves as a valuable resource for researchers, practitioners and policy makers seeking to optimize energy planning processes for a more sustainable and resilient future. In this chapter, the authors categorize and re-categorize optimization models in sustainable energy planning and review their optimization techniques. Also, to fully familiarize with the types of models presented, the latest and most important models have been reviewed and analyzed in line with the development of sustainable energy.",
keywords = "Game models, Goal programming, Multi-attribute decision models, Optimization models, Programming models, Renewable energy, Sustainable development goals (SDGs), Sustainable energy",
author = "Alsenani, \{Theyab R.\} and Amiri, \{Mohammad Mehdi\}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.",
year = "2025",
doi = "10.1007/978-981-96-4940-2\_8",
language = "English",
series = "Energy Systems in Electrical Engineering",
publisher = "Springer",
pages = "175--204",
booktitle = "Energy Systems in Electrical Engineering",
address = "Germany",
}