CALL FOR PAPERS
The organizers invite the abstracts of the research works from the participants for oral and poster presentations. The abstracts must be original and unpublished. Abstracts (not more than 250 words) must include Manuscript title, Author(s), Affiliation(s)/contact details, with a clear indication of research work, methodology, major results and conclusions in the following format: Font size -12 points; Type -Times New Roman; Spacing -1.5. Kindly submit your paper in MS Word through email to ranbal2019@gmail.com.
Last date for submission of extended abstracts : 24th December, 2025
Intimation of acceptance (Paper/Poster) : 31st December, 2025
Last date of registration : 15th January, 2026
Last date for submission of full papers : 20th January, 2026
Topics of interest for submission include, but are not limited to
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Low-carbon economy
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Climate-resilient development
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Carbon footprint reduction
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Sustainable development
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Green infrastructure
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Renewable energy transition
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Energy efficiency
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Carbon neutrality
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Decarbonization
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Emissions reduction
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Greenhouse gas mitigation
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Sustainable urban planning
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Clean technology
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Environmental sustainability
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Climate change mitigation
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Low-carbon technologies
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Net-zero emissions
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Circular economy
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Eco-friendly innovation
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Low-carbon policy
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Solar power
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Photovoltaic (PV) systems
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Solar panels
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Solar farms
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Solar energy systems
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Renewable energy
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Clean energy
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Solar radiation
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Net metering
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Off-grid solar
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Rooftop solar
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Concentrated solar power (CSP)
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Solar energy storage
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Solar inverters
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Solar thermal energy
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Solar electricity generation
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Distributed generation
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Solar investment
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Solar energy policy
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Sustainable energy solutions
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AI for climate change mitigation
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AI-driven low-carbon strategies
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Smart energy management
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AI for carbon footprint analysis
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Predictive analytics for emissions reduction
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AI-based decarbonization
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Machine learning in environmental monitoring
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AI-powered sustainable development
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Intelligent carbon accounting
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AI in green infrastructure planning
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AI for net-zero transition
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Digital twin for low-carbon cities
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AI-enhanced energy efficiency
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AI in climate-resilient urban planning
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AI for sustainable transport systems
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AI in solar energy optimization
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Machine learning for solar power forecasting
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Smart solar grid
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AI-based solar panel monitoring
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Solar energy prediction models
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AI for solar energy efficiency
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Deep learning for solar irradiance prediction
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AI-powered PV system maintenance
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Intelligent solar tracking systems
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Autonomous solar energy systems
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AI-enabled solar energy integration
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Smart fault detection in solar systems
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AI in solar farm management
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AI for solar inverter control
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Edge AI for solar IoT systems