Работы, цитирующие эту работу

Работ: 5

Работа: State of the Art of Machine Learning Models in Energy Systems, a Systematic Review

1. Assessment of the energy systems resilience using artificial intelligence methods

   Liudmila Massel, Aleksey G. Massel, Daria Gaskova +1

   СтатьяInfrastructure Resilience and Vulnerability AnalysisE3S Web of Conferences2023Цитирований: 6

   ABIABI:AkademIndex/openalex/2026.other.247909

2. Machine learning-based optimization and dynamic performance analysis of a hybrid geothermal-solar multi-output system for electricity, cooling, desalinated water, and hydrogen production: A case study

   Mohamed A. Ismail, Ghanim Kadhim Abdul Sada, Abdelfattah Amari +4

   СтатьяThermodynamic and Exergetic Analyses of Power and Cooling SystemsApplied Thermal Engineering2025Цитирований: 3

   ABIABI:AkademIndex/openalex/2025.article.000093

3. A multi-heat recovery approach integrated with LNG regasification in a geothermal-driven multigeneration system: Techno-economic insights and machine learning-based optimization

   Djamel Ghernaout, Hakim S. Sultan Aljibori, Sarminah Samad +5

   СтатьяThermodynamic and Exergetic Analyses of Power and Cooling SystemsApplied Thermal Engineering2025Цитирований: 2

   ABIABI:AkademIndex/openalex/2025.article.000283

4. Exergoeconomic analysis and optimization of a thermal–thermochemical system integrating biomass gasification and geothermal energy for power, methanol, and liquefied hydrogen

   Marwa Ben Slimene, Ali Basem, Mohd Abul Hasan +7

   СтатьяThermochemical Biomass Conversion ProcessesApplied Thermal Engineering2025Цитирований: 2

   ABIABI:AkademIndex/openalex/2025.article.000370

5. Optimization of Meat and Poultry Farm Inventory Stock Using Data Analytics for Green Supply Chain Network

   Rajnish Kler, Roshan Gangurde, Samariddin Elmirzaev +4

   СтатьяFood Supply Chain TraceabilityDiscrete Dynamics in Nature and Society2022Цитирований: 0

   ABIABI:AkademIndex/openalex/2022.article.000096