Abstract: The Energy Consumption Estimation project is a comprehensive system designed to revolutionize energy management and billing processes. With the integration of advanced data analytics, machine learning algorithms, and streamlined customer service functionalities, the project aims to address key challenges faced by users and utility providers in the energy sector. The project offers a user-friendly platform where users can register, log in, and access a range of features including electricity bill calculation, consumption prediction, complaint submission, and online bill payment. Administrators are provided with an intuitive admin panel to manage customer details, complaints, billing processes, and payment statuses efficiently. Through accurate consumption prediction, users gain insights into their energy usage patterns, enabling them to make informed decisions to optimize consumption and reduce utility costs. Billing processes are automated, minimizing errors and discrepancies, while online payment options enhance convenience and flexibility for users. Complaint handling is streamlined, with users able to submit complaints through the platform and administrators promptly addressing and resolving issues. Security measures are implemented to safeguard sensitive data and transactions, ensuring user privacy and compliance with regulatory standards. By addressing these challenges and providing innovative solutions, the Electricity Prediction & Billing project aims to enhance energy management practices, improve customer satisfaction, and contribute to a more sustainable and efficient energy ecosystem.
Keywords: Energy Management, Billing Processes, Machine Learning Algorithms, Customer Service, Data Security, User Authentication, Complaint Handling.
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DOI:
10.17148/IJARCCE.2024.134224
