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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Volume 11 | Issue 6
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Impact Factor : 8.14
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Issue Published : 121
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| Paper Title: | AI-Driven Nano-Enhanced Solar Energy Harvesting Under Cloudy Atmospheric Conditions |
| Authors Name: | Pasupulati Yogendra Maruthi |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_212911
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| Published Paper Id: | IJRTI2605201 |
| Published In: | Volume 11 Issue 5, May-2026 |
| DOI: | |
| Abstract: | The global demand for renewable energy has accelerated the development of advanced solar power systems, yet conventional photovoltaic (PV) panels continue to face significant efficiency losses under cloudy and low‑irradiance conditions. This paper presents an intelligent solar energy optimization framework that integrates nano‑coated photovoltaic materials with AI‑driven control mechanisms to enhance energy harvesting in diffused light environments. Nanotechnology enables improved absorption of scattered and low‑intensity solar radiation through advanced coatings such as quantum dots, graphene layers, and titanium dioxide films, which extend spectral response and increase photon capture efficiency. Complementing this, machine learning algorithms analyze environmental parameters—including cloud density, irradiance variability, temperature, and panel orientation—in real time to dynamically optimize power output. Predictive models anticipate short‑term weather fluctuations, allowing adaptive energy management strategies that stabilize voltage delivery, reduce storage stress, and minimize energy loss during unfavorable atmospheric conditions. The proposed system demonstrates strong potential for reliable electricity generation in smart buildings, IoT devices, and micro‑grids. By combining nanomaterials with AI‑based optimization, this research highlights a transformative pathway toward resilient, next‑generation solar infrastructure that aligns with global sustainability and decarbonization goals. |
| Keywords: | Solar Energy, Photovoltaic Systems, Nanotechnology, Artificial Intelligence, Cloudy Weather Power Generation, Smart Solar Panels, Low-Irradiance Energy Harvesting, Machine Learning, Renewable Energy Systems, Nano-Coated Solar Cells, Energy Optimization, Sustainable Power Generation, AI-Based Energy Management, Diffused Light Absorption, Intelligent Photovoltaic Technology |
| Cite Article: | "AI-Driven Nano-Enhanced Solar Energy Harvesting Under Cloudy Atmospheric Conditions", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.b844-b846, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605201.pdf |
| Downloads: | 00060 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2605201
Registration ID:212911
Published In: Volume 11 Issue 5, May-2026
DOI (Digital Object Identifier):
Page No: b844-b846 Country: Chennai, Tamil Nadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2605201 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2605201 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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