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GreenNova - Renewable Energy Investment Platform
Subject area: Science,Engineering and Technology · Area of research: Sustainability
Abstract
GreenNova is a renewable energy investment plat- form that bridges the gap between investors and sustainable projects. The platform enables seamless investments in vetted renewable energy initiatives, providing transparency and acces- sibility to retail and institutional investors alike. GreenNova inte- grates advanced financial analytics to assess investment risk and project viability. Using AI-driven risk assessment, the platform categorizes projects into ten investment grades based on parame- ters such as energy production, sustainability index, carbon offset potential, market stability, government incentives, and scalability. This ensures that investors make informed decisions backed by data-driven insights. GreenNova?s core technology stack includes React for an interactive front-end, Node.js for back- end efficiency, and PostgreSQL for structured data management. Transactions are secured using blockchain integration, ensuring transparency and trust. Payment handling is facilitated through Stripe, while Firebase authentication enhances security. Smart contracts automate the distribution of profits, minimizing ad- ministrative overhead. GreenNova?s AI-driven analytics further refine investment decisions through machine learning models trained on market trends and historical data. With a streamlined interface and robust security, GreenNova empowers individuals and institutions to drive global adoption of renewable energy while securing competitive financial returns.
Keywords
Renewable energy, green investments, AI-driven risk assessment, blockchain, smart contracts, Stripe, PostgreSQL, machine learning, sustainable finance, carbon offset
References
[1] Renewable Energy Investments: Major Trends andChallengeshttps://www.sciencedirect.com/science/article/pii/S1364032122007256
[2] The Role of Blockchain in Sustainable Energy: A Reviewhttps://ieeexplore.ieee.org/document/9302510
[3] AI-BasedFinancialForecastingforGreen Investmentshttps://www.nature.com/articles/s41598-021-92439-0
[4] Machine Learning in Renewable Energy Prediction and Optimization https://www.sciencedirect.com/science/article/pii/S136403212200229X
[5] ESG Investing and Sustainable Finance: A Deep LearningApproachhttps://arxiv.org/abs/2108.10538
[6] Tokenization of Renewable Energy Assets using SmartContractshttps://www.sciencedirect.com/science/article/pii/S0957417422012345
[7] AI-Powered Risk Analysis for Renewable EnergyProjectshttps://pubmed.ncbi.nlm.nih.gov/34329175
[8] Reinforcement Learning for Investment Portfolio Optimizationhttps://www.nature.com/articles/s41598-023-31264-1
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How to cite this paper
@article{1709631,
author = {Varkala Abhinav surya, P L Keerthana, Arpula Mahesh , Dr. Gouse Baig Mohammad},
title = {GreenNova - Renewable Energy Investment Platform},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {1},
pages = {935-939},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1709631.pdf},
abstract = {GreenNova is a renewable energy investment plat- form that bridges the gap between investors and sustainable projects. The platform enables seamless investments in vetted renewable energy initiatives, providing transparency and acces- sibility to retail and institutional investors alike. GreenNova inte- grates advanced financial analytics to assess investment risk and project viability. Using AI-driven risk assessment, the platform categorizes projects into ten investment grades based on parame- ters such as energy production, sustainability index, carbon offset potential, market stability, government incentives, and scalability. This ensures that investors make informed decisions backed by data-driven insights. GreenNova?s core technology stack includes React for an interactive front-end, Node.js for back- end efficiency, and PostgreSQL for structured data management. Transactions are secured using blockchain integration, ensuring transparency and trust. Payment handling is facilitated through Stripe, while Firebase authentication enhances security. Smart contracts automate the distribution of profits, minimizing ad- ministrative overhead. GreenNova?s AI-driven analytics further refine investment decisions through machine learning models trained on market trends and historical data. With a streamlined interface and robust security, GreenNova empowers individuals and institutions to drive global adoption of renewable energy while securing competitive financial returns.},
keywords = {Renewable energy, green investments, AI-driven risk assessment, blockchain, smart contracts, Stripe, PostgreSQL, machine learning, sustainable finance, carbon offset},
month = {July},
}