Matches in SemOpenAlex for { <https://semopenalex.org/work/W4306895318> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W4306895318 endingPage "871" @default.
- W4306895318 startingPage "863" @default.
- W4306895318 abstract "Climate change and sustainable development are significant challenges that must be addressed as soon as possible. As a result of this vision, the renewable energy (RE) industry has experienced great growth, with artificial intelligence being applied to improve its overall efficiency (AI). However, when it comes to achieving the sustainable development goals (SDGs), they are not sufficiently explored or considered. Countries all across the world are seeking to achieve 100% renewable energy by 2050, and this is a goal shared by a large number of other nations. More research is needed to evaluate whether renewable energy (RE) can assist us in meeting our sustainable development goals, given that it has lately experienced a considerable increase in popularity and is having an increasing impact on the global energy industry. In addition, an assessment of AI potential contribution to the achievement of the Sustainable Development Goals is being carried out. In this paper, we develop a machine learning model using Regression Kriging to classify the radiative energy flux at the earth surface in order of attaining environmental sustainability using solar panels. Various factors are given as input to the model that takes into account the modelling of data in obtaining the environmental sustainability. The simulation is conducted to test the efficacy of the model in obtaining the environmental sustainability and the results shows improved sustainability than other methods." @default.
- W4306895318 created "2022-10-21" @default.
- W4306895318 creator A5004454314 @default.
- W4306895318 creator A5051628070 @default.
- W4306895318 creator A5056486375 @default.
- W4306895318 creator A5064390066 @default.
- W4306895318 creator A5069181305 @default.
- W4306895318 creator A5069673488 @default.
- W4306895318 creator A5071709264 @default.
- W4306895318 creator A5084297075 @default.
- W4306895318 creator A5089893305 @default.
- W4306895318 date "2022-11-01" @default.
- W4306895318 modified "2023-10-03" @default.
- W4306895318 title "Role of machine learning in attaining environmental sustainability" @default.
- W4306895318 cites W1986382767 @default.
- W4306895318 cites W2011129798 @default.
- W4306895318 cites W2017732481 @default.
- W4306895318 cites W2959298257 @default.
- W4306895318 cites W2963928450 @default.
- W4306895318 cites W2989534891 @default.
- W4306895318 cites W3016497199 @default.
- W4306895318 cites W3102461524 @default.
- W4306895318 cites W3106204509 @default.
- W4306895318 cites W3123725380 @default.
- W4306895318 cites W3161183485 @default.
- W4306895318 cites W3165092355 @default.
- W4306895318 cites W3185997045 @default.
- W4306895318 cites W3187503080 @default.
- W4306895318 cites W3194540065 @default.
- W4306895318 cites W3201085245 @default.
- W4306895318 cites W3213888716 @default.
- W4306895318 cites W3214275449 @default.
- W4306895318 doi "https://doi.org/10.1016/j.egyr.2022.09.206" @default.
- W4306895318 hasPublicationYear "2022" @default.
- W4306895318 type Work @default.
- W4306895318 citedByCount "5" @default.
- W4306895318 countsByYear W43068953182023 @default.
- W4306895318 crossrefType "journal-article" @default.
- W4306895318 hasAuthorship W4306895318A5004454314 @default.
- W4306895318 hasAuthorship W4306895318A5051628070 @default.
- W4306895318 hasAuthorship W4306895318A5056486375 @default.
- W4306895318 hasAuthorship W4306895318A5064390066 @default.
- W4306895318 hasAuthorship W4306895318A5069181305 @default.
- W4306895318 hasAuthorship W4306895318A5069673488 @default.
- W4306895318 hasAuthorship W4306895318A5071709264 @default.
- W4306895318 hasAuthorship W4306895318A5084297075 @default.
- W4306895318 hasAuthorship W4306895318A5089893305 @default.
- W4306895318 hasBestOaLocation W43068953181 @default.
- W4306895318 hasConcept C107826830 @default.
- W4306895318 hasConcept C119599485 @default.
- W4306895318 hasConcept C127413603 @default.
- W4306895318 hasConcept C134560507 @default.
- W4306895318 hasConcept C162324750 @default.
- W4306895318 hasConcept C17744445 @default.
- W4306895318 hasConcept C188573790 @default.
- W4306895318 hasConcept C18903297 @default.
- W4306895318 hasConcept C199539241 @default.
- W4306895318 hasConcept C2742236 @default.
- W4306895318 hasConcept C39432304 @default.
- W4306895318 hasConcept C41008148 @default.
- W4306895318 hasConcept C552854447 @default.
- W4306895318 hasConcept C66204764 @default.
- W4306895318 hasConcept C86803240 @default.
- W4306895318 hasConceptScore W4306895318C107826830 @default.
- W4306895318 hasConceptScore W4306895318C119599485 @default.
- W4306895318 hasConceptScore W4306895318C127413603 @default.
- W4306895318 hasConceptScore W4306895318C134560507 @default.
- W4306895318 hasConceptScore W4306895318C162324750 @default.
- W4306895318 hasConceptScore W4306895318C17744445 @default.
- W4306895318 hasConceptScore W4306895318C188573790 @default.
- W4306895318 hasConceptScore W4306895318C18903297 @default.
- W4306895318 hasConceptScore W4306895318C199539241 @default.
- W4306895318 hasConceptScore W4306895318C2742236 @default.
- W4306895318 hasConceptScore W4306895318C39432304 @default.
- W4306895318 hasConceptScore W4306895318C41008148 @default.
- W4306895318 hasConceptScore W4306895318C552854447 @default.
- W4306895318 hasConceptScore W4306895318C66204764 @default.
- W4306895318 hasConceptScore W4306895318C86803240 @default.
- W4306895318 hasLocation W43068953181 @default.
- W4306895318 hasOpenAccess W4306895318 @default.
- W4306895318 hasPrimaryLocation W43068953181 @default.
- W4306895318 hasRelatedWork W1969414700 @default.
- W4306895318 hasRelatedWork W2210808936 @default.
- W4306895318 hasRelatedWork W2296062913 @default.
- W4306895318 hasRelatedWork W2552671158 @default.
- W4306895318 hasRelatedWork W2784209998 @default.
- W4306895318 hasRelatedWork W2940460546 @default.
- W4306895318 hasRelatedWork W2977333053 @default.
- W4306895318 hasRelatedWork W3036630121 @default.
- W4306895318 hasRelatedWork W3124459955 @default.
- W4306895318 hasRelatedWork W4200156411 @default.
- W4306895318 hasVolume "8" @default.
- W4306895318 isParatext "false" @default.
- W4306895318 isRetracted "false" @default.
- W4306895318 workType "article" @default.