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Abdullah F. Al-Aboosi, Aldo Jonathan Muñoz Vazquez, Fadhil Y. Al-Aboosi, Mahmoud El-Halwagi and Wei Zhan
Accurate prediction of renewable energy output is essential for integrating sustainable energy sources into the grid, facilitating a transition towards a more resilient energy infrastructure. Novel applications of machine learning and artificial intellig...
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Andreas F. Gkontzis, Sotiris Kotsiantis, Georgios Feretzakis and Vassilios S. Verykios
Smart cities, leveraging advanced data analytics, predictive models, and digital twin techniques, offer a transformative model for sustainable urban development. Predictive analytics is critical to proactive planning, enabling cities to adapt to evolving...
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Saira Abid, Guoqing Shi, Abid Hussain and Abdul Rauf
The construction of hydropower projects is increasingly prevalent worldwide, particularly in the context of climate change mitigation. Community displacement resulting from the construction of these projects raises significant questions about the post-re...
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Sofia Eckersten, Berit Balfors
Pág. 409 - 435
Drawing on examples from the Nordic countries, this article aims to explore the practical application of strategic policy and planning instruments and approaches that facilitate the integration of land use and transport planning and promote sustainable p...
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Federico Di Gaetano, Stefano Cascone and Rosa Caponetto
In response to the pressing demand for sustainable building practices within the Architecture, Engineering, and Construction (AEC) sector, this study investigates the integration of building information modeling (BIM) processes with the Leadership in Ene...
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