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03505nam a22006255i 4500 |
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978-1-4471-4649-0 |
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DE-He213 |
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20151204165053.0 |
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cr nn 008mamaa |
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121116s2013 xxk| s |||| 0|eng d |
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|a 9781447146490
|9 978-1-4471-4649-0
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|a 10.1007/978-1-4471-4649-0
|2 doi
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|a TEC031000
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|a 621.042
|2 23
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|a Paulescu, Marius.
|e author.
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|a Weather Modeling and Forecasting of PV Systems Operation
|h [electronic resource] /
|c by Marius Paulescu, Eugenia Paulescu, Paul Gravila, Viorel Badescu.
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|a London :
|b Springer London :
|b Imprint: Springer,
|c 2013.
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| 300 |
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|a XVIII, 358 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Green Energy and Technology,
|x 1865-3529
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| 505 |
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|a The future of the energy mix paradigm -- Solar radiation measurements -- State of the sky assessment -- Stability of the radiative regime -- Modeling Solar Radiation at the Earth Surface -- Time series forecasting -- Fuzzy logic approaches -- Air temperature based models -- Outdoor operations of PV systems -- Forecasting the power output of PV systems -- Perspectives.
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|a In the past decade, there has been a substantial increase of grid-feeding photovoltaic applications, thus raising the importance of solar electricity in the energy mix. This trend is expected to continue and may even increase. Apart from the high initial investment cost, the fluctuating nature of the solar resource raises particular insertion problems in electrical networks. Proper grid managing demands short- and long-time forecasting of solar power plant output. Weather modeling and forecasting of PV systems operation is focused on this issue. Models for predicting the state of the sky, nowcasting solar irradiance and forecasting solar irradiation are studied and exemplified. Statistical as well as artificial intelligence methods are described. The efficiency of photovoltaic converters is assessed for any weather conditions. Weather modeling and forecasting of PV systems operation is written for researchers, engineers, physicists and students interested in PV systems design and utilization.
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| 650 |
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|a Energy.
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| 650 |
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|a Renewable energy resources.
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| 650 |
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|a Energy harvesting.
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| 650 |
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|a Meteorology.
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| 650 |
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|a Atmospheric sciences.
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| 650 |
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|a Applied mathematics.
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| 650 |
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|a Engineering mathematics.
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| 650 |
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|a Renewable energy sources.
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| 650 |
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|a Alternate energy sources.
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| 650 |
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|a Green energy industries.
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| 650 |
1 |
4 |
|a Energy.
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| 650 |
2 |
4 |
|a Energy Harvesting.
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| 650 |
2 |
4 |
|a Meteorology.
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| 650 |
2 |
4 |
|a Renewable and Green Energy.
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| 650 |
2 |
4 |
|a Environmental Monitoring/Analysis.
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| 650 |
2 |
4 |
|a Appl.Mathematics/Computational Methods of Engineering.
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| 650 |
2 |
4 |
|a Atmospheric Sciences.
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| 700 |
1 |
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|a Paulescu, Eugenia.
|e author.
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| 700 |
1 |
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|a Gravila, Paul.
|e author.
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| 700 |
1 |
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|a Badescu, Viorel.
|e author.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9781447146483
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| 830 |
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|a Green Energy and Technology,
|x 1865-3529
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| 856 |
4 |
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|u http://dx.doi.org/10.1007/978-1-4471-4649-0
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENE
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| 950 |
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|a Energy (Springer-40367)
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