Sustainability Analysis and Environmental Decision-Making Using Simulation, Optimization, and Computational Analytics

• Autore: Yeomans Julian Scott
• Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
• Descrizione fisica: 1 online resource (248 p.)
• Soggetto topico: Mathematics & science; Research & information: general
• Soggetto non controllato: biofuel policy; biomass gasification; boron; business aviation; C-vine copula; classification; CO2 emissions; computer modeling; computer simulation; DEA; desalination; dynamic programming; eco-efficiency; ecological indicators; ecological relationship; electric motor; electricity production; energy modeling; energy system design; environmental footprint; factorial analysis; feature selection; feed-in tariff; financial market; forecasting; fuzzy; generation profile; Germany; input-output analysis; interval; investing; investment profitability analysis; Iowa food-energy-water nexus; joint dependencies; LASSO; machine learning; model reduction; modelling; Monte Carlo simulation; n/a; nitrogen export; nonpoint source pollution; operational flexibility; optimal allocation; optimal path; parameter estimation; point source pollution; pollutant loadings; quantile regression; reduction; regression; renewable energy; renewable energy support; reverse osmosis; seawater; simulation; simulation decomposition; sourcing; South Texas; specific power; streamflow forecasting; sustainability; system modeling; the pay-off method; turboprop; unlisted companies; urban solid waste system; water quality; water resource management; water resources; watershed management; weather modeling
• Persona (resp. second.): KozlovaMariia; YeomansJulian Scott
• Sommario/riassunto: Effective environmental decision-making is often challenging and complex, where final solutions frequently possess inherently subjective political and socio-economic components. Consequently, complex sustainability applications in the "real world" frequently employ computational decision-making approaches to construct solutions to problems containing numerous quantitative dimensions and considerable sources of uncertainty. This volume includes a number of such applied computational analytics papers that either create new decision-making methods or provide innovative implementations of existing methods for addressing a wide spectrum of sustainability applications, broadly defined. The disparate contributions all emphasize novel approaches of computational analytics as applied to environmental decision-making and sustainability analysis - be this on the side of optimization, simulation, modelling, computational solution procedures, visual analytics, and/or information technologies.
• Titolo autorizzato: Sustainability Analysis and Environmental Decision-Making Using Simulation, Optimization, and Computational Analytics
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557620403321
• Lo trovi qui: Univ. Federico II