{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11989668","patent":{"patent_number":"US-11989668","title":"Non-intrusive load monitoring using machine learning and processed training data","assignee":null,"inventors":[],"filing_date":"2023-04-05T00:00:00.000Z","publication_date":"2024-05-21T00:00:00.000Z","cpc_codes":["G01D","G06N","G06N","G06N","G06N","G06Q","H02J","G01D","G06N","G06N","G06N","H02J","H02J"],"num_claims":20,"abstract":"Embodiments implement non-intrusive load monitoring using a novel learning scheme. A trained machine learning model configured to disaggregate device energy usage from household energy usage can be stored, where the machine learning model is trained to predict energy usage for a target device from household energy usage. Household energy usage over a period of time can be received, where the household energy usage includes energy consumed by the target device and energy consumed by a plurality of other devices. Using the trained machine learning model, energy usage for the target device over the period of time can be predicted based on the received household energy usage."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Non-intrusive load monitoring using machine learning and processed training data","description":"Embodiments implement non-intrusive load monitoring using a novel learning scheme. A trained machine learning model configured to disaggregate device energy usage from household energy usage can be st","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11989668","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11989668","citation_suggestion":"Patentable. \"Non-intrusive load monitoring using machine learning and processed training data\" (US-11989668). https://patentable.app/patents/US-11989668","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11989668","json":"https://patentable.app/api/llm-context/US-11989668","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T05:12:29.182Z"}