International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 04 | Apr 2024
p-ISSN: 2395-0072
www.irjet.net
AI-Based Smart Home Energy Meter Ajinkya Valanjoo 1, Priyesh Chiplunkar 2, Sheryl Bellary 3, Sheetal Dixit4, Soham Jadiye5, Sarthak Bansod 6 1Ajinkya Valanjoo, Assistant Professor, Dept. of Artificial Intelligence and Data Science, VESIT, Mumbai,
Maharashtra, India
2Priyesh Chiplunkar Director, techAsia Mechatronics Pvt Ltd, Mumbai
3Sheryl Bellary, Dept. of Artificial Intelligence and Data Science, VESIT, Mumbai, Maharashtra, India 4Sheetal Dixit, Dept. of Artificial Intelligence and Data Science, VESIT, Mumbai, Maharashtra, India
5Soham Jadiye, Dept. of Artificial Intelligence and Data Science, VESIT, Mumbai, Maharashtra, India
6Sarthak Bansod, Dept. of Artificial Intelligence and Data Science, VESIT, Mumbai, Maharashtra, India
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Abstract - The deployment of Artificial Intelligence (AI) in
manage electricity consumption and environmental quality. This overview highlights the importance and diverse capabilities of this groundbreaking innovation.
energy management has seen remarkable growth in recent years, driven by the increasing demand for efficient energy utilization and sustainability. This study presents an innovative AI-based Smart Energy Meter system designed for real-time energy consumption monitoring and electricity bill forecasting, with advanced environmental sensing capabilities, including CO2 and humidity sensors.
In an era defined by escalating energy demands and environmental concerns, the AI-Based Smart Energy Meter emerges as a crucial tool for individuals, businesses, and utility providers. Its core function is to monitor and analyze real-time energy usage patterns, providing users with unprecedented insights into their electricity consumption. Powered by AI and machine learning algorithms, this meter not only captures consumption data accurately but also offers consumers insightful forecasts of their monthly electricity bills. This feature empowers users to manage their energy usage effectively, cut costs, and advocate for responsible energy practices.
The primary aim of this system is to empower consumers with insights into their energy consumption patterns, enabling them to make informed decisions to optimize energy usage and reduce costs. Leveraging AI and machine learning algorithms, the Smart Energy Meter collects and analyzes electricity usage data with high precision and in real-time, using historical consumption data, weather conditions, and user-specific preferences to forecast monthly electricity bills accurately. Furthermore, the integration of CO2 and humidity sensors enhances the system's capabilities by facilitating the monitoring of indoor air quality and environmental conditions, enabling users to proactively manage their indoor environment, supporting well-being and sustainability efforts.
Furthermore, this Smart Energy Meter goes beyond traditional energy monitoring by integrating advanced environmental sensors. CO2 and humidity sensors are employed to monitor indoor air quality and environmental conditions. This integration is pivotal in promoting healthier, more sustainable living environments and aligning energy consumption with broader environmental and wellness objectives.
The implementation of the AI-Based Smart Energy Meter has the potential to revolutionize how individuals and businesses interact with their energy consumption by offering actionable insights, reducing energy waste, and promoting eco-conscious practices, thereby contributing to a more sustainable and costefficient energy landscape Key Words: AI-Based Smart Energy Meter, Machine Learning, Energy Consumption Forecasting, Real-Time Monitoring, XGBoost Algorithm, LSTM Algorithm, RNN, Indoor Air Quality
This paper explores the architecture, functionality, and advantages of the AI-Based Smart Energy Meter, highlighting its potential to drive sustainable energy management, minimize waste, and contribute to a more responsible and environmentally conscious future. Positioned at the nexus of AI, energy efficiency, and environmental well-being, it stands as a dynamic solution poised to play a significant role in the advancement of energy management systems.
1.INTRODUCTION
1.1 Motivation
The incorporation of Artificial Intelligence (AI) into energy management marks a significant advancement towards efficiency, sustainability, and informed decision-making. A prime example of this progress is the AI-Based Smart Energy Meter, a revolutionary solution poised to transform how we
The incorporation of Artificial Intelligence (AI) into energy management has led to a new era characterized by efficiency, sustainability, and informed decision-making. A significant development in this area is the AI-Based Smart Energy Meter, which aims to transform how we manage
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