Matches in SemOpenAlex for { <https://semopenalex.org/work/W3156233193> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W3156233193 abstract "In the last decades, there has been an outstanding rise in the advancement and application of various types of Machine learning (ML) approaches and techniques in the modeling, design and prediction for energy systems. This work presents a simple but significant application of a ML approach, the Support Vector Machine (SVM) to the estimation of CO2 emission from electricity generation. The CO2 emission was estimate in a framework of Cost-Effectiveness Analysis between two competing technologies in electricity generation using data for Combined Cycle Gas Turbine Plant (CCGT) provided by IEA for Italy in 2020. Respect to other application of ML techniques, usually developed to address engineering issues in energy generation, this work is intended to provide useful insights in support decision for energy policy." @default.
- W3156233193 created "2021-04-26" @default.
- W3156233193 creator A5085151190 @default.
- W3156233193 date "2022-10-05" @default.
- W3156233193 modified "2023-09-30" @default.
- W3156233193 title "Machine Learning in Estimating CO<sub>2</sub> Emissions from Electricity Generation" @default.
- W3156233193 cites W2140494000 @default.
- W3156233193 cites W2270330859 @default.
- W3156233193 cites W2779861208 @default.
- W3156233193 cites W2884486887 @default.
- W3156233193 cites W2890886120 @default.
- W3156233193 cites W2896532220 @default.
- W3156233193 cites W2900116663 @default.
- W3156233193 cites W2921630034 @default.
- W3156233193 cites W2933878133 @default.
- W3156233193 cites W2975040027 @default.
- W3156233193 cites W2989736827 @default.
- W3156233193 cites W2998768928 @default.
- W3156233193 cites W3006841480 @default.
- W3156233193 cites W3046458074 @default.
- W3156233193 cites W3046678016 @default.
- W3156233193 cites W3102461524 @default.
- W3156233193 cites W3105640742 @default.
- W3156233193 doi "https://doi.org/10.5772/intechopen.97452" @default.
- W3156233193 hasPublicationYear "2022" @default.
- W3156233193 type Work @default.
- W3156233193 sameAs 3156233193 @default.
- W3156233193 citedByCount "3" @default.
- W3156233193 countsByYear W31562331932021 @default.
- W3156233193 countsByYear W31562331932023 @default.
- W3156233193 crossrefType "book-chapter" @default.
- W3156233193 hasAuthorship W3156233193A5085151190 @default.
- W3156233193 hasBestOaLocation W31562331931 @default.
- W3156233193 hasConcept C110910425 @default.
- W3156233193 hasConcept C119599485 @default.
- W3156233193 hasConcept C119857082 @default.
- W3156233193 hasConcept C121332964 @default.
- W3156233193 hasConcept C12267149 @default.
- W3156233193 hasConcept C127413603 @default.
- W3156233193 hasConcept C13736549 @default.
- W3156233193 hasConcept C163258240 @default.
- W3156233193 hasConcept C18762648 @default.
- W3156233193 hasConcept C206658404 @default.
- W3156233193 hasConcept C2987684023 @default.
- W3156233193 hasConcept C41008148 @default.
- W3156233193 hasConcept C423512 @default.
- W3156233193 hasConcept C62520636 @default.
- W3156233193 hasConcept C78519656 @default.
- W3156233193 hasConceptScore W3156233193C110910425 @default.
- W3156233193 hasConceptScore W3156233193C119599485 @default.
- W3156233193 hasConceptScore W3156233193C119857082 @default.
- W3156233193 hasConceptScore W3156233193C121332964 @default.
- W3156233193 hasConceptScore W3156233193C12267149 @default.
- W3156233193 hasConceptScore W3156233193C127413603 @default.
- W3156233193 hasConceptScore W3156233193C13736549 @default.
- W3156233193 hasConceptScore W3156233193C163258240 @default.
- W3156233193 hasConceptScore W3156233193C18762648 @default.
- W3156233193 hasConceptScore W3156233193C206658404 @default.
- W3156233193 hasConceptScore W3156233193C2987684023 @default.
- W3156233193 hasConceptScore W3156233193C41008148 @default.
- W3156233193 hasConceptScore W3156233193C423512 @default.
- W3156233193 hasConceptScore W3156233193C62520636 @default.
- W3156233193 hasConceptScore W3156233193C78519656 @default.
- W3156233193 hasLocation W31562331931 @default.
- W3156233193 hasLocation W31562331932 @default.
- W3156233193 hasOpenAccess W3156233193 @default.
- W3156233193 hasPrimaryLocation W31562331931 @default.
- W3156233193 hasRelatedWork W1993370974 @default.
- W3156233193 hasRelatedWork W2049158782 @default.
- W3156233193 hasRelatedWork W2065233182 @default.
- W3156233193 hasRelatedWork W2087571969 @default.
- W3156233193 hasRelatedWork W2334095147 @default.
- W3156233193 hasRelatedWork W2366523116 @default.
- W3156233193 hasRelatedWork W2371668443 @default.
- W3156233193 hasRelatedWork W2375783019 @default.
- W3156233193 hasRelatedWork W2381482476 @default.
- W3156233193 hasRelatedWork W2385687862 @default.
- W3156233193 isParatext "false" @default.
- W3156233193 isRetracted "false" @default.
- W3156233193 magId "3156233193" @default.
- W3156233193 workType "book-chapter" @default.