An instance-based SER analysis in the presence of PVTA variations
ناشر:
سال
: 2014شناسه الکترونیک: 10.1109/IREC.2014.6827038
کلیدواژه(گان): costing,n search problems,n wind power plants,n wind turbines,n Basque Country,n capital cost,n compounding wind turbines,n cost-effective optimal placement,n harmony search metaheuristic algorithm,n northern Spain,n novel multiobjective adaptation,n optimized micrositing,n renewable energy sources,n wind energy,n wind farm deployment,n yield production,n Layout,n Optimization,n Production,n Wind energy,n Wind farms,n Wind power gene
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An instance-based SER analysis in the presence of PVTA variations
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| contributor author | Farahani, Bahareh | |
| contributor author | Safari, Saeed | |
| date accessioned | 2020-03-12T21:52:02Z | |
| date available | 2020-03-12T21:52:02Z | |
| date issued | 2014 | |
| identifier other | 6962081.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1063323 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | An instance-based SER analysis in the presence of PVTA variations | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8195456 | |
| subject keywords | costing | |
| subject keywords | n search problems | |
| subject keywords | n wind power plants | |
| subject keywords | n wind turbines | |
| subject keywords | n Basque Country | |
| subject keywords | n capital cost | |
| subject keywords | n compounding wind turbines | |
| subject keywords | n cost-effective optimal placement | |
| subject keywords | n harmony search metaheuristic algorithm | |
| subject keywords | n northern Spain | |
| subject keywords | n novel multiobjective adaptation | |
| subject keywords | n optimized micrositing | |
| subject keywords | n renewable energy sources | |
| subject keywords | n wind energy | |
| subject keywords | n wind farm deployment | |
| subject keywords | n yield production | |
| subject keywords | n Layout | |
| subject keywords | n Optimization | |
| subject keywords | n Production | |
| subject keywords | n Wind energy | |
| subject keywords | n Wind farms | |
| subject keywords | n Wind power gene | |
| identifier doi | 10.1109/IREC.2014.6827038 | |
| journal title | efect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), 2014 IEEE International Symposiu | |
| filesize | 273158 | |
| citations | 0 |