{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11526789","patent":{"patent_number":"US-11526789","title":"Method for construction of long-term prediction intervals and its structural learning for gaseous system in steel industry","assignee":null,"inventors":[],"filing_date":"2018-09-12T00:00:00.000Z","publication_date":"2022-12-13T00:00:00.000Z","cpc_codes":["G06Q","G06F","G06F","G06F","G06F","G06N","G06N","G06N","G06N","G06F"],"num_claims":1,"abstract":"The present invention belongs to the field of information technology, involving the techniques of fuzzy modeling, reinforcement learning, parallel computing, etc. It is a method combining granular computing and reinforcement learning for construction of long-term prediction interval and determination of its structure. Adopting real industrial data, the present invention constructs multi-layer structure for assigning information granularity in unequal length and establishes corresponding optimization model at first. Then considering the importance of the structure on prediction accuracy, Monte-Carlo method is deployed to learn the structural parameters. Based on the optimal multi-layer granular computing structure along with implementing parallel computing strategy, the long-term prediction intervals of gaseous generation and consumption are finally obtained. The proposed method exhibits superiority on accuracy and computing efficiency which satisfies the demand of real-world application. It can be also generalized to apply on other energy systems in steel industry."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Method for construction of long-term prediction intervals and its structural learning for gaseous system in steel industry","description":"The present invention belongs to the field of information technology, involving the techniques of fuzzy modeling, reinforcement learning, parallel computing, etc. It is a method combining granular com","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11526789","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-11526789","citation_suggestion":"Patentable. \"Method for construction of long-term prediction intervals and its structural learning for gaseous system in steel industry\" (US-11526789). https://patentable.app/patents/US-11526789","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11526789","json":"https://patentable.app/api/llm-context/US-11526789","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T03:22:51.427Z"}