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An evaluation and implementation of rule-based Home Energy Management System using the Rete algorithm.

Tomoya Kawakami1, Naotaka Fujita1, Tomoki Yoshihisa2

  • 1Graduate School of Engineering, Kobe University, 1-1 Rokkodai-machi, Nada, Kobe, Hyogo 657-8501, Japan.

Thescientificworldjournal
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Summary

This study introduces a novel rule-based Home Energy Management System (HEMS) utilizing the Rete algorithm for efficient energy saving. The system distributes rule processing to smart taps, optimizing data collection and reducing computational load.

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Sustainable Energy

Background:

  • Home Energy Management Systems (HEMS) are crucial for energy conservation without compromising Quality of Life (QoL).
  • Existing rule-based HEMS often rely on simple 'IF-THEN' logic, which can be computationally intensive.
  • The Rete algorithm offers an efficient pattern-matching solution for 'IF-THEN' rule processing.

Purpose of the Study:

  • To propose and evaluate a novel rule-based Home Energy Management System (HEMS) that leverages the Rete algorithm.
  • To enhance energy management efficiency by distributing rule processing to smart network taps.
  • To reduce the computational load and data collection requirements in HEMS.

Main Methods:

  • Developed a rule-based HEMS architecture incorporating the Rete algorithm.
  • Implemented distributed rule processing where smart taps manage energy rules.
  • Simulated the proposed HEMS in a controlled environment to assess performance.

Main Results:

  • The proposed HEMS effectively processed energy management rules via smart taps.
  • Distributed processing reduced the number of processes and data collection needs.
  • Simulation results validated the system's efficiency in managing energy.

Conclusions:

  • The Rete algorithm-based HEMS offers an efficient approach to energy management.
  • Distributing rule processing to smart taps enhances system performance and scalability.
  • The implemented system demonstrates practical application for smart home energy saving.