Optimisation Models and Methods in Energy Systems

Challenging problems arise in all segments of energy industries—generation, transmission, distribution and consumption. Optimization models and methods play a key role in offering decision/policy makers better information to assist them in making sounder decisions at different levels, ranging from o...

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Glavni autor: Antunes, Carlos Henggeler
Format: Online
Jezik:engleski
Izdano: MDPI - Multidisciplinary Digital Publishing Institute 2021
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Online pristup:42467
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author Antunes, Carlos Henggeler
author_browse Antunes, Carlos Henggeler
author_facet Antunes, Carlos Henggeler
author_sort Antunes, Carlos Henggeler
collection Directory of Open Access Books
description Challenging problems arise in all segments of energy industries—generation, transmission, distribution and consumption. Optimization models and methods play a key role in offering decision/policy makers better information to assist them in making sounder decisions at different levels, ranging from operational to strategic planning.
format Online
id doab-20.500.12854ir-55325
institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-553252024-04-11T15:10:19Z Optimisation Models and Methods in Energy Systems Antunes, Carlos Henggeler TA1-2040 T1-995 mixed integer linear programming fuzzy set theory stochastic programming mixed integer linear programing variable renewable power generation efficiency optimization flexibility option portfolio analysis firefighting semi-mean-absolute deviation model component outage energy network predicted mean vote (PMV) generation expansion planning building microgrid demand side management stochastic robust optimization oil storage plants long-term forecasting multi-criteria decision making (MCDM) life cycle cost graph theory scenario-based multistage stochastic programming optimal power generation mix heating ventilation and air-conditioning (HVAC) intermittent sources electric-power structure adjustment technique for the order of preference by similarity to the ideal solution (TOPSIS) integrated energy system Markov chain Monte Carlo nondominated sorting genetic algorithm (NSGA) domino effect energy system management model electrical distribution systems microgrid operation influence diagram net demand wind power forecasting energy conservation and emissions reduction feasible operation region meshed topology occupancy-based control islanded microgrids combined heat and power multi-objective optimization re-optimization and rescheduling thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Challenging problems arise in all segments of energy industries—generation, transmission, distribution and consumption. Optimization models and methods play a key role in offering decision/policy makers better information to assist them in making sounder decisions at different levels, ranging from operational to strategic planning. 2021-02-11T21:46:11Z 2021-02-11T21:46:11Z 2019-12-09 11:49:15 2019 book 42467 9783039211197 9783039211180 https://directory.doabooks.org/handle/20.500.12854/55325 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/1476 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03921-119-7 10.3390/books978-3-03921-119-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039211197 9783039211180 192 open access
spellingShingle TA1-2040
T1-995
mixed integer linear programming
fuzzy set theory
stochastic programming
mixed integer linear programing
variable renewable power
generation efficiency
optimization
flexibility option
portfolio analysis
firefighting
semi-mean-absolute deviation model
component outage
energy network
predicted mean vote (PMV)
generation expansion planning
building microgrid
demand side management
stochastic robust optimization
oil storage plants
long-term forecasting
multi-criteria decision making (MCDM)
life cycle cost
graph theory
scenario-based multistage stochastic programming
optimal power generation mix
heating ventilation and air-conditioning (HVAC)
intermittent sources
electric-power structure adjustment
technique for the order of preference by similarity to the ideal solution (TOPSIS)
integrated energy system
Markov chain Monte Carlo
nondominated sorting genetic algorithm (NSGA)
domino effect
energy system management model
electrical distribution systems
microgrid operation
influence diagram
net demand
wind power forecasting
energy conservation and emissions reduction
feasible operation region
meshed topology
occupancy-based control
islanded microgrids
combined heat and power
multi-objective optimization
re-optimization and rescheduling
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Antunes, Carlos Henggeler
Optimisation Models and Methods in Energy Systems
title Optimisation Models and Methods in Energy Systems
title_full Optimisation Models and Methods in Energy Systems
title_fullStr Optimisation Models and Methods in Energy Systems
title_full_unstemmed Optimisation Models and Methods in Energy Systems
title_short Optimisation Models and Methods in Energy Systems
title_sort optimisation models and methods in energy systems
topic TA1-2040
T1-995
mixed integer linear programming
fuzzy set theory
stochastic programming
mixed integer linear programing
variable renewable power
generation efficiency
optimization
flexibility option
portfolio analysis
firefighting
semi-mean-absolute deviation model
component outage
energy network
predicted mean vote (PMV)
generation expansion planning
building microgrid
demand side management
stochastic robust optimization
oil storage plants
long-term forecasting
multi-criteria decision making (MCDM)
life cycle cost
graph theory
scenario-based multistage stochastic programming
optimal power generation mix
heating ventilation and air-conditioning (HVAC)
intermittent sources
electric-power structure adjustment
technique for the order of preference by similarity to the ideal solution (TOPSIS)
integrated energy system
Markov chain Monte Carlo
nondominated sorting genetic algorithm (NSGA)
domino effect
energy system management model
electrical distribution systems
microgrid operation
influence diagram
net demand
wind power forecasting
energy conservation and emissions reduction
feasible operation region
meshed topology
occupancy-based control
islanded microgrids
combined heat and power
multi-objective optimization
re-optimization and rescheduling
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
topic_facet TA1-2040
T1-995
mixed integer linear programming
fuzzy set theory
stochastic programming
mixed integer linear programing
variable renewable power
generation efficiency
optimization
flexibility option
portfolio analysis
firefighting
semi-mean-absolute deviation model
component outage
energy network
predicted mean vote (PMV)
generation expansion planning
building microgrid
demand side management
stochastic robust optimization
oil storage plants
long-term forecasting
multi-criteria decision making (MCDM)
life cycle cost
graph theory
scenario-based multistage stochastic programming
optimal power generation mix
heating ventilation and air-conditioning (HVAC)
intermittent sources
electric-power structure adjustment
technique for the order of preference by similarity to the ideal solution (TOPSIS)
integrated energy system
Markov chain Monte Carlo
nondominated sorting genetic algorithm (NSGA)
domino effect
energy system management model
electrical distribution systems
microgrid operation
influence diagram
net demand
wind power forecasting
energy conservation and emissions reduction
feasible operation region
meshed topology
occupancy-based control
islanded microgrids
combined heat and power
multi-objective optimization
re-optimization and rescheduling
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
url 42467
work_keys_str_mv AT antunescarloshenggeler optimisationmodelsandmethodsinenergysystems