Artificial Intelligence-Driven Decision Support Framework for Improving Energy Efficiency in Industry and Transportation
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Artificial Intelligence-Driven Decision Support Framework for Improving Energy Efficiency in Industry and Transportation, Springer Vieweg
Von Zhipeng Ma, im heise shop in digitaler Fassung erhältlich
Produktinformationen "Artificial Intelligence-Driven Decision Support Framework for Improving Energy Efficiency in Industry and Transportation"
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.
This book develops and validates an AI-driven decision support framework to
improve energy efficiency in energy-intensive industrial and transportation
systems. Guided by a three-cycle Design Science Research (DSR) methodology, the
framework integrates complementary AI techniques into a modular, end-to-end
architecture that transforms heterogeneous raw data into interpretable,
actionable recommendations. It includes systematic data quality assessment and
preprocessing pipelines, time-series segmentation, clustering key performance
indicators for pattern recognition, causal inference methods to identify drivers
of inefficiency, and a multimodal large language model (LLM)-based decision
support module that translates analytical outcomes into domain-relevant
strategies.
Artikel-Details
- Anbieter:
- Springer Vieweg
- Autor:
- Zhipeng Ma
- Artikelnummer:
- 9783658519650
- Veröffentlicht:
- 27.05.26
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