Comparative evaluation of physics-guided machine learning models for prediction of CO and NOx emissions, heat input rate and flame ionisation current in hydrogen-enriched natural gas combustion in a combi boiler

Yücekaya U. A.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, cilt.286, ss.1-18, 2026 (SCI-Expanded, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 286
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1016/j.ijhydene.2026.158263
  • Dergi Adı: INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
  • Derginin Tarandığı İndeksler: Academic Search Ultimate (EBSCO), Engineering Source (EBSCO), Scopus, Science Citation Index Expanded (SCI-EXPANDED), Artic & Antarctic Regions, Chemical Abstracts Core, Chimica, Compendex, Environment Index, INSPEC
  • Sayfa Sayıları: ss.1-18
  • Dokuz Eylül Üniversitesi Adresli: Evet