Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques
This Brief highlights a novel model to find out the feasibility of any location to produce solar energy. The model utilizes the latest multi-criteria decision making techniques and artificial neural networks to predict the suitability of a location to maximize allocation of available energy for prod...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Singapore :
Springer Singapore : Imprint: Springer,
2016.
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| Series: | SpringerBriefs in Energy,
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Internet
Full Text via HEAL-LinkΒΚΠ - Πατρα: ALFd
| Call Number: |
330.01 BAU |
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| Copy 1 | Available |
ΒΚΠ - Πατρα: BSC
| Call Number: |
330.01 BAU |
|---|---|
| Copy 2 | Available |
| Copy 3 | Available |