Artificial Intelligence and Environmental Challenges: Research Insights and Emerging Solutions

Authors

Robert Leskovar (Ed.)
University of Maribor, Faculty of Organizational Sciences
DOI: https://doi.org/10.18690/um.fov.5.2026

Keywords:

artificial intelligence, machine learning, environmental issues, CO2 emissions, risk, failure, renewable energy, wind turbine, solar power plant, edge AI, PM2.5 particles

Synopsis

This volume examines where artificial intelligence can provide genuine insight into environmental problems, and at what cost. Across eight chapters, contributors apply machine learning, deep learning, econometric modelling, and computational simulation to a range of pressing challenges: forecasting wind and solar energy output, deploying efficient AI on resource-constrained edge devices, quantifying risk in sustainable finance, detecting faults in photovoltaic installations, analysing air quality and CO₂ emissions data, simulating nanoplastic interactions with biological systems, and modelling urban heat transfer. A recurring theme is the critical importance of data quality — sparse, biased, or poorly curated datasets remain a fundamental obstacle to trustworthy modelling. The volume equally emphasises interpretability, recognising that environmental decision-making is ultimately a human and political process. Taken together, the chapters offer an honest, domain-grounded assessment of the current capabilities and limitations of AI as a tool for addressing environmental challenges.

Chapters

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Author Biographies

Robert Leskovar (Ed.), University of Maribor, Faculty of Organizational Sciences

Robert Leskovar is the editor of the scientific monograph. Robert Leskovar is a full professor in the field of "Information Systems and Quality" at the University of Maribor. He participates in the teaching process at all levels of education. In his research career spanning over 40 years, he has worked on simulation and modeling, multi-criteria decision-making, software engineering, artificial intelligence, digital marketing, and the analysis of biometric data. He is the author or co-author of numerous scientific articles and the editor of a scientific monograph on digital transformation and artificial intelligence. In 2022, he received the title "Legend of Computing and Informatics." He is involved in or has been involved in several European projects for the implementation of low-code programming and artificial intelligence in higher education programs.

Maribor, Slovenia. E-mail: robert.leskovar@um.si

References

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E-book (pdf)

Published

June 18, 2026

Categories

Copyright (c) 2026 University of Maribor, University of Maribor Press

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Details about the available publication format: E-book (pdf)

E-book (pdf)

THEMA Subject Codes (93)

UX; TQ

ISBN-13 (15)

978-961-299-160-9

COBISS.SI ID (00)

281943555

Date of first publication in original language (20)

2026-06-18

How to Cite

Leskovar, R. (Ed.). (2026). Artificial Intelligence and Environmental Challenges: Research Insights and Emerging Solutions. University of Maribor Press. https://doi.org/10.18690/um.fov.5.2026