Renewable Energy Integration for Sustainable Development: Overcoming Challenges and Expanding Global Access

Authors

  • Dr. Ratan Kumar

Abstract

The transition to renewable energy is essential for achieving sustainable development and mitigating the effects of climate change. This paper examines the opportunities and challenges associated with large-scale renewable energy integration into national and global energy grids. It explores the role of solar, wind, hydro, and biomass energy sources in diversifying energy portfolios and reducing dependency on fossil fuels. Through an analysis of successful renewable energy projects and policy frameworks, the paper identifies key enablers for accelerating renewable energy adoption, including technological advancements, financial incentives, and grid infrastructure improvements. The paper concludes with recommendations for policymakers and industry leaders to expand renewable energy access and promote a sustainable energy future.

References

Chinta, P. C. R., Katnapally, N., Ja, K., Bodepudi, V., Babu, S., & Boppana, M. S. (2022). Exploring the role of neural networks in big data-driven ERP systems for proactive cybersecurity management. Kurdish Studies.

Routhu, K., Bodepudi, V., Jha, K. M., & Chinta, P. C. R. (2020). A Deep Learning Architectures for Enhancing Cyber Security Protocols in Big Data Integrated ERP Systems. Available at SSRN 5102662.

Moore, C. (2023). AI-powered big data and ERP systems for autonomous detection of cybersecurity vulnerabilities. Nanotechnology Perceptions, 19, 46-64.

Bodepudi, V., & Chinta, P. C. R. (2024). Enhancing Financial Predictions Based on Bitcoin Prices using Big Data and Deep Learning Approach. Available at SSRN 5112132.

Chinta, P. C. R. (2023). The Art of Business Analysis in Information Management Projects: Best Practices and Insights. DOI, 10.

Chinta, P. C. R., & Katnapally, N. (2021). Neural Network-Based Risk Assessment for Cybersecurity in Big Data-Oriented ERP Infrastructures. Neural Network-Based Risk Assessment for Cybersecurity in Big Data-Oriented ERP Infrastructures.

Katnapally, N., Chinta, P. C. R., Routhu, K. K., Velaga, V., Bodepudi, V., & Karaka, L. M. (2021). Leveraging Big Data Analytics and Machine Learning Techniques for Sentiment Analysis of Amazon Product Reviews in Business Insights. American Journal of Computing and Engineering, 4(2), 35-51.

Chinta, P. C. R., Moore, C. S., Karaka, L. M., Sakuru, M., Bodepudi, V., & Maka, S. R. (2025). Building an Intelligent Phishing Email Detection System Using Machine Learning and Feature Engineering. European Journal of Applied Science, Engineering and Technology, 3(2), 41-54.

Moore, C. (2024). Enhancing Network Security With Artificial Intelligence Based Traffic Anomaly Detection In Big Data Systems. Available at SSRN 5103209.

Chinta, P. C. R., Moore, C. S., Karaka, L. M., Sakuru, M., & Bodepudi, V. (2025). Predictive Analytics for Disease Diagnosis: A Study on Healthcare Data with Machine Learning Algorithms and Big Data. J Cancer Sci, 10(1), 1.

Chinta, P. C. R., Jha, K. M., Velaga, V., Moore, C., Routhu, K., & SADARAM, G. (2024). Harnessing Big Data and AI-Driven ERP Systems to Enhance Cybersecurity Resilience in Real-Time Threat Environments. Available at SSRN 5151788.

Chinta, P. C. R. (2023). Leveraging Machine Learning Techniques for Predictive Analysis in Merger and Acquisition (M&A). Journal of Artificial Intelligence and Big Data, 3(1), 10-31586.

Chinta, P. C. R. (2022). Enhancing Supply Chain Efficiency and Performance Through ERP Optimisation Strategies. Journal of Artificial Intelligence & Cloud Computing, 1(4), 10-47363.

Chinta, P. C. R., & Karaka, L. M. AGENTIC AI AND REINFORCEMENT LEARNING: TOWARDS MORE AUTONOMOUS AND ADAPTIVE AI SYSTEMS.

Published

2025-01-02

How to Cite

Kumar, D. R. (2025). Renewable Energy Integration for Sustainable Development: Overcoming Challenges and Expanding Global Access. Synergy: A Journal of Multidisciplinary Innovation, 7(7). Retrieved from https://ijaisd.com/index.php/Synergia/article/view/102

Issue

Section

Articles