The python neuralnilm.Net is a library that provides a framework for developing and training deep neural networks for non-intrusive load monitoring (NILM) tasks. NILM is a technique used to disaggregate and identify the electrical devices responsible for energy consumption in a household or building. The neuralnilm.Net library offers various neural network architectures and algorithms that can be customized and trained to accurately estimate the energy consumption of individual appliances, allowing for better understanding and control over energy usage. This library facilitates the development of intelligent energy management systems and can be used in research or practical applications for optimizing energy efficiency.
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