Energy Monitoring and Control in the Smart Grid-Reference-Cited by-同舟云学术

Energy Monitoring and Control in the Smart Grid

Published:2023-10-02 Issue: Volume: Page:290-316
ISSN:2327-7033
Container-title:Advances in Bioinformatics and Biomedical Engineering
language:
Short-container-title:

Author:

Kavitha C. R.¹^ORCID,Varalatchoumy M.²,Mithuna H. R.³,Bharathi K.⁴,Geethalakshmi N. M.³,Boopathi Sampath⁵^ORCID

Affiliation:

1. Department of Computer Science Engineering, Amrita School of Computing, India

2. Department of Computer Science and Engineering, Cambridge Institute of Technology, India

3. Department of Information Science and Engineering, Acharya Institute of Technology, India

4. Department of Thirumala Educational Trust, Sanford Public School, India

5. Muthayammal Engineering College, India

Abstract

Monitoring and controlling energy use is critical for efficient power system management, particularly in smart grids. The internet of things (IoT) has compelled the development of intelligent systems such as the adaptive neuro-fuzzy inference system (ANFIS) and fuzzy fruit fly optimization to improve monitoring, optimise energy use, and enable demand response (FFO). This chapter examines the advantages and disadvantages of IoT-enabled microgrids, as well as system installation for energy monitoring and control. It focuses on the architecture, implementation, experimental setup, evaluation, and performance analysis of the ANFIS and FFO algorithms in smart grids. The chapter covers data security, privacy, interoperability, scalability, grid resilience, cost-effectiveness, stakeholder involvement, and AI breakthroughs in energy monitoring and control.

Publisher

IGI Global

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