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

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

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-m...

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Tallennettuna:
Bibliografiset tiedot
Muut tekijät: Yeomans, Julian Scott (Toimittaja), Kozlova, Mariia (Toimittaja)
Aineistotyyppi: Kirjan osa
Julkaistu: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Aiheet:
Research & information: general
Mathematics & science
streamflow forecasting
C-vine copula
quantile regression
joint dependencies
water resource management
ecological relationship
factorial analysis
input-output analysis
optimal path
reduction
urban solid waste system
desalination
reverse osmosis
modelling
simulation
parameter estimation
seawater
boron
watershed management
nonpoint source pollution
point source pollution
water quality
pollutant loadings
South Texas
eco-efficiency
DEA
CO2 emissions
forecasting
ecological indicators
biomass gasification
machine learning
computer modeling
computer simulation
regression
model reduction
LASSO
classification
feature selection
financial market
investing
sustainability
renewable energy support
energy modeling
energy system design
generation profile
environmental footprint
renewable energy
electricity production
unlisted companies
Germany
feed-in tariff
biofuel policy
investment profitability analysis
the pay-off method
simulation decomposition
sourcing
operational flexibility
business aviation
turboprop
electric motor
specific power
Monte Carlo simulation
Iowa food-energy-water nexus
nitrogen export
system modeling
weather modeling
optimal allocation
interval
fuzzy
dynamic programming
water resources
n/a
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