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Artificial Intelligence-Driven Decision Support Framework for Improving Energy Efficiency in Industry and Transportation
English | 2026 | ISBN: 3658519649 | 401 Pages | PDF (True) | 21 MB
Energy-intensive sectors such as industry and transportation are vital to economic development, yet remain major contributors to global energy consumption and greenhouse gas emissions. Enhancing their energy efficiency is essential to achieving climate resilience and meeting decarbonization goals. Despite abundant operational and sensor data, decision-making in these sectors often relies on heuristics and lacks systematic, transparent, and explainable analytical support. Existing Artificial Intelligence (AI)-based decision support methods frequently fall short in integrating robust data preprocessing, causal interpretation, and actionable recommendation generation, limiting their practical impact.
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