基于原始认知网络的太阳能电池板选址方法研究

2018 3rd International Conference on Intelligent Green Building and Smart Grid (IGBSG) Pub Date : 2018-04-01 DOI:10.1109/IGBSG.2018.8393576

K. Yuen, Jenq-Shiou Leu

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引用次数: 0

摘要

太阳能电池板选址问题是一个多标准决策问题，即在考虑温度、湿度、日照强度、日照时间、风力等多种技术标准的情况下，从众多可能的选址中选择最合适的太阳能电池板选址。原始认知网络过程是多准则决策工具之一。提出了一种基于原始认知网络的太阳能电池板选址方法。

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Towards a solar panels site selection approach using primitive cognitive network process

Solar panels site selection problem is a multiple criteria decision problem, which selecting the most appropriate site for setting solar panels among a number of potential sites in views of multiple technical criteria such as temperature, humidity, sunlight intensity, sunlight duration, and wind. Primitive Cognitive Network Process is one of the multiple criteria decision making tools. This paper presents the Primitive Cognitive Network Process (PCNP) for Solar panels site selection.

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2018 3rd International Conference on Intelligent Green Building and Smart Grid (IGBSG)

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