Enhancing Smart and Zero-Carbon Cities Through a Hybrid CNN-LSTM Algorithm for Sustainable AI-Driven Solar Power Forecasting (SAI-SPF)

Enhancing Smart and Zero-Carbon Cities Through a Hybrid CNN-LSTM Algorithm for Sustainable AI-Driven Solar Power Forecasting (SAI-SPF)

The transition to smart, zero-carbon cities relies on advanced, sustainable energy solutions, with artificial intelligence (AI) playing a crucial role in optimizing renewable energy management. This study evaluates state-of-the-art AI models for solar power forecasting, emphasizing accuracy, reliabi...

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Bibliographic Details
Main Authors: Haytham Elmousalami, Felix Kin Peng Hui, Aljawharah A. Alnaser
Format: Article
Language:English
Published: MDPI AG 2025-08-01
Series:Buildings
Subjects:
sustainable artificial intelligence
solar power forecasting
energy supply optimization
smart cities energy management
renewable energy prediction
Benban Solar Park
Online Access:https://www.mdpi.com/2075-5309/15/15/2785
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