The applications of machine learning in the energy sector are countless.

Indeed, more and more information is being collected in real-time from systems and processes.

Some of the solutions in which Neural Designer has been successfully applied are described next.

Performance optimization using machine learning

Learn how Neural Designer applies machine learning to model complex processes, optimize key variables, and improve performance across industries by helping reduce energy consumption, minimize emissions, and maximize efficiency.
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Gas emissions reduction using machine learning

Explore how Neural Designer applies machine learning to analyze industrial processes, identify emission drivers, and optimize operations, allowing organizations to reduce greenhouse gases and maximize and improve energy efficiency.
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Building virtual sensors using machine learning

Learn how Neural Designer applies virtual sensing techniques to replace physical sensors with machine learning models, cutting costs while boosting reliability, predictive power, and process optimization across different industries
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