Smart Homes, Smart Choices: Using Big Data to Boost Energy Efficiency and Environmental Sustainability

Abstract

The major contributor to home energy consumption is home appliances, comprising about two-thirds of the total energy used. Analyzing electricity usage at the appliance level is crucial due to varying energy consumption levels among different appliances. This analysis allows individuals to either upgrade or minimize the use of inefficient appliances. To prioritize energy conservation, reducing the usage of energy-inefficient household appliances is imperative. Smart meters in a smart home scenario record electricity consumption data. The collected and monitored data from smart meters integrate with Big Data, playing a substantial role in this domain. Our proposed model optimizes electricity usage by identifying and categorizing household energy-inefficient appliances with a novel transition detection algorithm and appliance detection model. Furthermore, Utilizing Appliance-Level power consumption data from the UK-DALE dataset and One vs Rest clustering techniques, the proposed model effectively identifies devices with higher energy consumption. Additionally, the result analysis of the proposed model highlights the advantages of transitioning to energy-efficient devices, reducing both power consumption and financial wastage.

Keywords:

• Appliance detection
• Apache Spark
• Big Data
• Energy inefficiency
• OneVsRest classifier
• Smart homes

Disclosure Statement

• Funding: This work did not receive financial support.

• Conflict of interest/Competing interests: The authors declare that there is no conflict of interest regarding the publication of this work.

• Ethics approval: Not applicable

• Consent to participate: All the authors declare their consent to participate in this research article.

• Consent for publication: All the authors declare their consent for publication of the article on acceptance.

• Availability of data and materials: The data and materials are available within the manuscript.

• Code availability: Not applicable

• Authors’ contributions: The collaborative efforts of the authors were as follows: The conceptualization, methodology, and performance analysis were undertaken by Anurag Choubey and Shivendu Mishra, who also played a key role in crafting the initial draft. Sourajit Behera, Amit Kumar Pandey and Digvijay Pandey primarily focus on the manuscript’s design and implementation parts. Rajiv Misra provided valuable input through validation, supervision, and further refinement of the manuscript. Each author’s commitment and involvement have been substantial, collectively assuming public responsibility for different facets of the content. Importantly, all authors have rigorously reviewed and approved the final manuscript.

Additional information

Notes on contributors

Anurag Choubey

Anurag Choubey is a Visvesvaraya research fellow in the department of Computer Science Engineering at Indian Institute of Technology (IIT) Patna, India. He completed his M.Tech degree from National Institute of Technology Patna, India and his B.Tech degree from Tezpur Central University, India. His area of interest comprises of Distributed Systems, Peer-to-Peer network, Blockchain technology and Big Data Analytics. During his stay at IIT Patna, he has also worked as a teaching assistant for numerous courses like Distributed systems, Cloud Computing, Big data analytics and Foundations of Computer System. He has also worked as a project fellow under a DST-DAAD sponsored inter-national project at IIT Patna.

Shivendu Mishra

Shivendu Mishra is a Part-time Visvesvaraya research fellow in the department of Computer Science Engineering at Indian Institute of Technology (IIT) Patna, India and an Assistant Professor in Information Technology Department, Rajkiya Engineering College Ambedkar Nagar, UP, India. He has more than Twelve years of academic experience. He received his B.Tech degree in 2008 from UPTU Lucknow, M.Tech degree in 2011 From MNNIT Allahabad. He has organized several workshops, FDP, summer internships, and expert lectures for students/faculty members. He has published one book, two patent and more than 32-research papers in the reputed journals and conferences. He has worked as a reviewer and program committee member in International conferences and journals. His research interest include AI, Electric vehicle charging/discharging, IoT, Big Data Analytics, Cryptography, Network Security, Service Oriented Architecture and Wireless sensor Networks.

Sourajit Behera

Sourajit Behera is currently working as an Assistant Professor in the department of CSE, Kalinga Institute of Industrial Technology, India. He had earlier worked as Assistant professor in the dept of SCSET Bennett University. He completed his Ph.D. degree in the Department of Computer Science and Engineering at the Indian Institute of Technology (IIT) Patna, India. He received his bachelor’s from VSSUT, Burla, India, in 2011, and his Master’s from Thapar University, Patiala, India, in 2016. His research interests include prognostics and health management, and industrial applications of artificial intelligence and big data analytics.

Rajiv Misra

Rajiv Misra received the MTech degree in computer science and engineering from the IIT, Bombay, and the Ph.D. degree in the area of mobile computing from IIT Kharagpur. He is currently working in the Professor position and is also the Head of Department in the Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Patna, India. His current research interests spanned a design of distributed algorithms for Mobile, Adhoc and Sensor Networks, Distributed Cloud Computing, and Wireless Networks. He has contributed significantly to these areas and published more than 60 papers in high-quality journals and conferences and 2 book chapters. His h-index is 19 with more than 1500 citations. He has authored papers in IEEE Transactions on Mobile Computing, IEEE Transactions on Parallel and Distributed Systems, etc. He is a senior member of the IEEE.

Amit Kumar Pandey

Amit Kumar Pandey has completed his Ph.D in the area of microelectronics and VLSI from MNNIT Allahabad. He did his M.Tech from NIT Allahabad and B.E in Electronics Engineering from Swami Ramanand Teerth Marathwada University Nanded. He is associated with Rajkiya Enginerng College Ambedkar Nagar from last 6 years as Assistant Professor with total more than 14 years teaching experience. He has published more than 30 research papers in refereed Springer, Wiley, Emerald etc and conferences. He has also published seven patents. He has worked as a session chair, conference steering committee member, editorial board member, and peer reviewer in international/national Springer, Wiley etc Journal and conferences. His area of expertise includes microelectronics device modeling and characterization, low power VLSI circuit design, VLSI design of testing.

Digvijay Pandey

Digvijay Pandey is currently working in the Department of Technical Education in Kanpur, India as a Lecturer. He did his PhD. From AKTU Lucknow in image and signal processing. He obtained his M.Tech with honors in digital systems and design at the KNIT Sultanpur (Dr. A.P.J. Abdul Kalam Technical University, Uttar Pradesh and Lucknow), India, in 2016. He obtained his first degree in BTech with honors at the IERT Allahabad (Dr. A.P.J. Abdul Kalam Technical University, Uttar Pradesh and Lucknow), India, in 2011. In 2012, he joined TCS (IT analyst) and worked on various US/UK/Canada projects until 2016 and worked at IERT Allahabad as a faculty member. He has more than eleven years of experience in the fields of industry and teaching. He has been on the review board of many reputed journals like Springer, Wiley, Sci, IEEE, and Scopus indexed journals.