Inspiration
Installing solar panels for energy efficiency in Industry 5.0 can be inspired by a combination of financial, environmental, and strategic factors
What it does
ML forecasts energy use, optimizes grids, and boosts renewables integration for efficient energy management.And suggesting the installation and efficiency of solar panel using machine learning and artificial intelligence.
How we built it
weather patterns: Neural network with data processing solar radiation levels: 8-Stacking Regression Cross Validation (8 STR-CV) model topography: Keras, OpenCL pattern recognition : Theano and TensorFlow
What we learned
We learned to work and understand the process in using upcoming technologies and algorithms in handling the real time problems
What's next for GreenEra
Future AI/ML developments promise higher predictive accuracy, greater renewable integration, autonomous energy management, and compliance assurance. Innovations in storage optimization, quantum computing, and global AI standards will transform energy management. Ethical AI use and workforce training are vital. These advancements will secure lasting energy efficiency, sustainability, and competitiveness for Industry 5.0 in the coming decades.
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