https://github.com/hamza-cpp/nilm-sys

NILM-Sys focuses on optimizing energy consumption in buildings through Non-Intrusive Load Monitoring (NILM). By leveraging advanced neural network architectures, the system disaggregates aggregate power data to estimate the power usage of individual appliances, contributing to climate change mitigation by enhancing energy efficiency in building
https://github.com/hamza-cpp/nilm-sys

attention-mechanism classification disaggregation docstring-documentation neural-network nilm regression scaling solid-principles transformers

Last synced: 27 days ago
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NILM-Sys focuses on optimizing energy consumption in buildings through Non-Intrusive Load Monitoring (NILM). By leveraging advanced neural network architectures, the system disaggregates aggregate power data to estimate the power usage of individual appliances, contributing to climate change mitigation by enhancing energy efficiency in building

• Host: GitHub
• URL: https://github.com/hamza-cpp/nilm-sys
• Owner: Hamza-cpp
• License: apache-2.0
• Created: 2024-08-22T09:05:58.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-09-11T09:44:29.000Z (4 months ago)
• Last Synced: 2024-09-11T13:28:37.368Z (4 months ago)
• Topics: attention-mechanism, classification, disaggregation, docstring-documentation, neural-network, nilm, regression, scaling, solid-principles, transformers
• Language: Python
• Homepage:
• Size: 78.1 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • License: LICENSE

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