Multi-Criteria Decision-Making for Energy Management in Smart Homes Using Hybridized Neuro-Fuzzy Approach

Authors

  • U. V. Anbazhagu Department of Computing Technologies, School of Computing, Faculty of Engineering and Technology, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Chennai, TN, India
  • Manjula Sanjay Koti Department of MCA, Dayananda Sagar Academy of Technology and Management Bangalore, 560082, India
  • V. Muthukumaran Department of Mathematics, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur Campus, Tamilnadu-603 203, India
  • V. Geetha Department of Computer Science, School of Applied Sciences. REVA University, Bangalore, India
  • Meram Munrathnam Department of Mathematics, Rajiv Gandhi University of Knowledge Technologies, R.k.Valley, Idupulapaya, Kadapa Dt, Andhra Pradesh-516330, India

DOI:

https://doi.org/10.13052/dgaej2156-3306.3914

Keywords:

Neural network, decision accuracy, fuzzy logic, inference, hybridization, decision-making, sustainability

Abstract

The necessity for smart energy oversight solutions has arisen in response to the rising popularity of energy-efficient home automation and other energy-saving technologies. Optimizing smart home energy use using multi-criteria decision-making (MCDM) is a proven methodology. However, the procedure for making decisions and MCDM’s capacity to handle various criteria are typically limiting factors. Hybrid methods, which integrate multiple decision-making approaches like Fuzzy Logic (FL) and Modular Neural Networks (MNN), could potentially be able to circumvent these restrictions and boost energy management systems’ efficacy and precision. This investigation presents a hybrid Neuro-Fuzzy (H-NF) method for MCDM in regulating energy for smart homes by combining FL with an MNN. The suggested approach would optimize energy use in smart homes by considering several parameters, notably cost, ease of use, and environmental effects. In addition, this study aims to examine how the H-NF model fares in comparison to other methods of making important decisions in terms of several performance metrics. The suggested hybridized approach has the potential to deliver more precise and effective decision-making processes for energy management in smart homes, allowing users to optimize their energy consumption while preserving comfort and lowering environmental impact.

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Author Biographies

U. V. Anbazhagu, Department of Computing Technologies, School of Computing, Faculty of Engineering and Technology, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Chennai, TN, India

U. V. Anbazhagu is working as Assistant in the Department of Computing Technologies, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chennai. She completed her doctoral degree in the area of Big Data Analytics. Her research interest includes Artificial Intelligence and Machine Learning.

Manjula Sanjay Koti, Department of MCA, Dayananda Sagar Academy of Technology and Management Bangalore, 560082, India

Manjula Sanjay Koti received her Master of Computer Applications, from Bapuji Institute of Engineering & Technology, Davangere, Kuvempu University, Karnataka, India. She received her M.Phil and Ph.D., from Bharathiar University, Coimbatore, India. Dr. Manjula has around 2 decades of experience in teaching. Currently she is working as Professor and HOD in the Department of MCA, Dayananda Sagar Academy of Technology & Management, Bengaluru, India. She has publications in reputed International Journals & Conferences and has received best research papers awards. She has been guiding Ph.D. scholars under Visvesvaraya Technological University, Belagavi, Karnataka, India. Her areas of Interest includes, Data Warehousing, Data Mining, Artificial Intelligence, Machine Learning and Big Data Analytics. She is also a member of BOE & BOS for Visvesvaraya Technological University, Belagavi and several other autonomous and private universities.

She has chaired several National and International Conferences and also a reviewer for prestigious International Journals. She has been a keynote speaker & Technical Program Committee member for various International Conferences in India and abroad. She is a life member of Indian Society for Technical Education, Computer Society of India, International Association of Engineers, World Academic Industry Research Collaboration Organization and Institute of Research Engineers and Doctors. She is a Certified Test Professional from International Institute of Software Testing, USA. She is a recipient of Best Research Excellence award from Institute for Exploring Advances in Engineering and Excellence Teaching in Higher Education award from International Research Institute, Bengaluru.

Dr. Manjula has published 2 Indian patents and 2 Australian patents to her credit. She has been honored by Shikshak Kalyan Foundation, Mumbai for her contributions to women empowerment.

V. Muthukumaran, Department of Mathematics, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur Campus, Tamilnadu-603 203, India

V. Muthukumaran was born in Vellore, Tamilnadu, India, in 1988. He received the B.Sc. degree in Mathematics from the Thiruvalluvar University Serkkadu, Vellore, India, in 2009, and the M.Sc. degrees in Mathematics from the Thiruvalluvar University Serkkadu, Vellore, India, in 2012. The M. Phil. Mathematics from the Thiruvalluvar University Serkkadu, Vellore, India, in 2014 and Ph.D. degrees in Mathematics from the School of Advanced Sciences, Vellore Institute of Technology, Vellore in 2019. He has 4 years of teaching experience and 8 years of research experience, and he has published various research papers in high-quality journals Springer, Elsevier, IGI Global, Emerald, River, etc. At present, he has a working Assistant Professor in the Department of Mathematics, REVA University Bangalore, India. His current research interests include Algebraic cryptography, Fuzzy Image Processing, Machine learning, and Data mining. His current research interests include Fuzzy Algebra, Fuzzy Image Processing, Data Mining, and Cryptography. Dr. V. Muthukumaran is a Fellow of the International Association for Cryptologic Research (IACR), India; He is a Life Member of the IEEE. He has published more than 50 research articles and 8 book chapters in peer-reviewed international journals. He has published 10 IPR patents in algebraic with IoT applications. He also presented 25 papers presented at national and international conferences. He has also been a reviewer of several international journals including, Journal of Intelligent Manufacturing (Springer), International Journal of Intelligent Computing and Cybernetics, International Journal of e-Collaboration (IJeC), International Journal of Pervasive Computing and Communications (IJPCC), International Journal of System of Assurance Engineering (IJSA), International Journal Speech Technology (IJST)-Springer, Journal of Reliable Intelligent Environments (JRIE), International Journal of Information Technology and Web Engineering (IJITWE).

V. Geetha, Department of Computer Science, School of Applied Sciences. REVA University, Bangalore, India

V. Geetha obtained her B.Sc. & M.Sc. in Computer Science from Madras University, Tamil Nadu. and Ph.D. in Computer Science with specialization in Internet of Things (IoT) from Galgotias University, U.P., She has 8 Years of teaching experience from reputed institutions in Bangalore. She attended many workshops on “Research Writing skills”. She is currently working as Assistant Professor in REVA University, Bangalore. Her area of interest in Computer Networks, Internet Security and the latest disruptive technologies brought her to narrow down her research to IoT Security.

Meram Munrathnam, Department of Mathematics, Rajiv Gandhi University of Knowledge Technologies, R.k.Valley, Idupulapaya, Kadapa Dt, Andhra Pradesh-516330, India

Meram Munirathnam, completed his Ph.D in 2013 from Sri Venkateswara University, Tirupati, Andhra Pradesh, India, under supervision of Prof. D. Bharathi. His research work is on Non-Associative Rings and also he did research on Derivations on Rings and published some papers. He published 3 Patents, 1 Book Chapter and 24 papers in various International journals and attended 14 National and International conferences and presented papers. He also organized 3 online National webinars. He was the member of various committees at the University level like Mathematics syllabus for Rajiv Gandhi University of Knowledge Technologies for the year 2021 & 2022. He has 12 years of teaching experience in Mathematics for B. Tech Students. Also he has experience in non-teaching positions also like Mathematics Subject coordinator, Assistant Placements coordinator and Warden for students.

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Published

2023-10-30

How to Cite

Anbazhagu, U. V. ., Koti, M. S. ., Muthukumaran, V. ., Geetha, V. ., & Munrathnam, M. . (2023). Multi-Criteria Decision-Making for Energy Management in Smart Homes Using Hybridized Neuro-Fuzzy Approach. Distributed Generation &Amp; Alternative Energy Journal, 39(01), 83–110. https://doi.org/10.13052/dgaej2156-3306.3914

Issue

2024: Vol 39 Iss 1

Section

Digital twin for Accelerating Sustainability in Energy Automation and Smart Grid