Getinet Ayano, Berihun Assefa Dachew, Rosanna Rooney, Christina M Pollard, Rosa Alati
Impact of low birth weight on academic attainment during adolescence: A comprehensive retrospective cohort study using linked data
Early human development
global demand clean energy continues grow sustainable development clean energy projects become important topic research order optimize performance sustainability clean energy projects work explores environmental economic benefits clean energy industry use support vector machine svm multifactor models bilevel multiobjective approach work conducts comprehensive assessment optimization wind power base case study work describes material consumption wind turbines transportation energy consumption carbon dioxide co2 emissions infrastructure material consumption descriptive statistics moreover work analyzes characteristics different wind turbine models depth one hand svm multifactor model used predict assess profitability wind power base hand bilevel multiobjective approach applied optimize number units internal rate return within project annual average equivalent utilization hours wind power base research results indicate march wilderhill new energy global innovation index nex 091053 predicted value svm multifactor model 098596 predicted value slightly higher actual value demonstrating models good grasp future returns cumulative rate return wind power base 1883 annualized return 947 exceeding market performance 168 optimization bilevel multiobjective approach number units wind power base decreases original 7004 5860 total purchase transportation costs remaining basically unchanged internal rate return project increases 8 93 annual equivalent utilization hours increase 2044 h comprehensively improving investment return utilization efficiency wind power base optimization significant improvements achieved teras global demand clean energy continues grow sustainable development clean energy projects become important topic research order optimize performance sustainability clean energy projects work explores environmental economic benefits clean energy industry use support vector machine svm multifactor models bilevel multiobjective approach work conducts comprehensive assessment optimization wind power base case study work describes material consumption wind turbines transportation energy consumption carbon dioxide co2 emissions infrastructure material consumption descriptive statistics moreover work analyzes characteristics different wind turbine models depth one hand svm multifactor model used predict assess profitability wind power base hand bilevel multiobjective approach applied optimize number units internal rate return within project annual average equivalent utilization hours wind power base research results indicate march wilderhill new energy global innovation index nex 091053 predicted value svm multifactor model 098596 predicted value slightly higher actual value demonstrating models good grasp future returns cumulative rate return wind power base 1883 annualized return 947 exceeding market performance 168 optimization bilevel multiobjective approach number units wind power base decreases original 7004 5860 total purchase transportation costs remaining basically unchanged internal rate return project increases 8 93 annual equivalent utilization hours increase 2044 h comprehensively improving investment return utilization efficiency wind power base optimization significant improvements achieved terms number units internal rate return within project annual average equivalent utilization hours wind power base number units decreases 5860 total purchase transportation costs remaining basically unchanged internal rate return increases 93 annual equivalent utilization hours increase 2044 h energy consumption co2 emissions significantly reduced energy consumption decreasing 068 109 kgce co2 emissions decreasing 129 109 kg optimization effects mainly concentrated production installation stages emission reductions achieved recycling disposal materials consumed early stages terms investment benefits environmental benefits enhanced 1393 reduction co2 emissions moreover improved energy efficiency energy inputoutput ratio increasing 773 931 indicates wind power base project significant environmental energy efficiency advantages clean energy industry work innovatively provides comprehensive assessment optimization scheme clean energy projects predicts profitability wind power base using svm multifactor models besides work optimizes key parameters project using bilevel multiobjective approach thus comprehensively improving investment return utilization efficiency wind power base work provides innovative methods strong data support development clean energy industry great significance promoting sustainable development backdrop green finance