Artificial Intelligence Algorithms in Sustainability

Dear Colleagues:

The current technological revolution is intrinsically linked to the idea of sustainability. In this context, artificial intelligence is critical in facilitating the transition toward a more sustainable future. Within the energy field, the integration of artificial intelligence emerges as a valuable opportunity to optimize available resources and conceive new solutions for environmental improvement. Through meticulous mathematical modeling and the practical implementation of algorithms, complex problems related to resource management, energy efficiency and reducing environmental impacts can be addressed. These algorithms, based on mathematical and computational principles, make it possible to address a wide range of environmental, social and economic challenges. This convergence has led to the creation of innovative technologies, resulting in greater efficiency in various tasks in search of a sustainable society. These technological systems have found application in various industrial and research sectors, thus supporting the foundations for an energy horizon that harmoniously balances human needs with environmental conservation.

Artificial intelligence has sparked a revolution in our approach to environmental challenges. Its integration into monitoring and control systems has enabled better management of natural resources and has given rise to intelligent solutions designed with the environment in mind. These AI-backed systems can analyze data in real time and make decisions that minimize environmental impacts. In addition, these technologies prompted the development of cutting-edge forecasting and analysis techniques, enabling more accurate and effective planning for long-term sustainability. This Special Issue aims to highlight the new approaches that artificial intelligence has adopted as a cornerstone to face sustainability challenges.

We invite authors to contribute to this Special Issue. Topics of interest include but are not limited to the following:

Artificial intelligence techniques focused on sustainability engineering issues:

• Machine learning applied to forecasting models.
• Deep learning for image recognition for sustainability issues.
• Optimization of autonomous systems with artificial intelligence in sustainability.
• Metaheuristic algorithms for the optimization of power systems.
• Diffuse or neural techniques for the analysis of sustainability data.
• Mixed techniques for the development of intelligent systems in sustainability.

Applications with integrated artificial intelligence:

• Photovoltaic systems.
• Energy generation systems.
• Environmental problems.
• Electric vehicles.
• Sustainable systems.
• Alternative energy sources.
• IoT focused on sustainability issues.

The collaboration between algorithmic research and sustainability-oriented technology unlocks significant potential to address global challenges from a scientific and technological perspective.

Prof. Dr. Juvenal Rodriguez-Resendiz
Dr. José Manuel Álvarez-Alvarado
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.

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