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This chapter implements the AI-driven decision support framework for improving energy efficiency proposed in Chapter 5. Its primary objective is to demonstrate and verify the methodological rigor and empirical superiority by developing and implementing analytical artifacts that correspond to each functional module in Fig. 5.1. Each artifact developed in this chapter undergoes rigorous evaluation against existing SotA methods, underscoring both its novelty and performance advantages.

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Implementation and Empirical Verification of the Proposed Framework

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  • 发表日期：

    2026年

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  • Zhipeng Ma

摘要

This chapter implements the AI-driven decision support framework for improving energy efficiency proposed in Chapter 5. Its primary objective is to demonstrate and verify the methodological rigor and empirical superiority by developing and implementing analytical artifacts that correspond to each functional module in Fig. 5.1. Each artifact developed in this chapter undergoes rigorous evaluation against existing SotA methods, underscoring both its novelty and performance advantages.