Watt Wallet: A Blockchain-Enabled Decentralized Marketplace for Renewable Energy Credits with AI-Driven Predictive Analytics

D. Dhanush, V. Baladitya, P. Jaswanth, T. Kritin, Gayatri Ramasamy, Gurupriya M.

2025

Abstract

The decentralized platform WattWallet uses dual-currency methodology to modernise Renewable Energy Credits (RECs) management and tokenized energy consumption handling. WattWallet builds its platform with Next.js version 15.0.3 as its dynamic frontend together with MongoDB Atlas as a cloud NoSQL database service, Prisma for safe data operations and secure authentication provided by Clerk. WattWallet operates with two different payment forms including Credits purchased through simulated cash while users acquire Energy Tokens (ETs) by spending Credits. Users can power fans, lights, televisions along with other appliances through WattWallet using Energy Tokens which run out at a dedicated rate of one token per five seconds of operational time. All financial data together with energy information gets recorded on an advanced ledger system through hashed database entries to guarantee security and maintain visibility. WattWallet implements a sales prediction system enabled by an AI module which operates with the Random Forest algorithm to analyze data. Operational forecasts of future sales metrics reach 87.3% to 94% accuracy levels through historical transaction data processing by the predictive engine. By leveraging sales forecast data administrators obtain capabilities to take proactive inventory decisions while distributing resources effectively to make strategic assessments. WattWallet provides an advanced solution toward sustainable energy management by implementing decentralized transaction tracking combined with dual-currency operations together with future sales prediction capabilities.

Paper Citation

in Harvard Style

Dhanush D., Baladitya V., Jaswanth P., Kritin T., Ramasamy G. and M. G. (2025). Watt Wallet: A Blockchain-Enabled Decentralized Marketplace for Renewable Energy Credits with AI-Driven Predictive Analytics. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 718-728. DOI: 10.5220/0013904400004919

in Bibtex Style

@conference{icrdicct`2525,
author={D. Dhanush and V. Baladitya and P. Jaswanth and T. Kritin and Gayatri Ramasamy and Gurupriya M.},
title={Watt Wallet: A Blockchain-Enabled Decentralized Marketplace for Renewable Energy Credits with AI-Driven Predictive Analytics},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={718-728},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013904400004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Watt Wallet: A Blockchain-Enabled Decentralized Marketplace for Renewable Energy Credits with AI-Driven Predictive Analytics
SN - 978-989-758-777-1
AU - Dhanush D.
AU - Baladitya V.
AU - Jaswanth P.
AU - Kritin T.
AU - Ramasamy G.
AU - M. G.
PY - 2025
SP - 718
EP - 728
DO - 10.5220/0013904400004919
PB - SciTePress