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Neural network-based multi-photocell array developments

机译:基于神经网络的多重光电池阵列开发

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A multi-photocell array (MPA) is an apparstus with a number of photovoltaic (PV) cells evenly spaced from one another and is used to determine global and direct beam solar radiation components. The present MPA uses a neural network (NN) tocalculate these two insolation components in neal4itne. This type of solar sensing equipment can be useful in remote areas or un-maintained areas where insolation values are of importance but ordinary sun-tracking equipment is unfeasible. The present MPA consists of 21 PV cells, each wired individually. Average cell temperature is also measured and is used in the neural network along with cell currents to predict the two components of solar radiation. Results from one month of testing show that the MPA NN can calculate radiation components more accurately than similar multi-pyranometers reported in the literature.
机译:多光电池阵列(MPa)是具有均匀间隔均匀间隔的多个光伏(PV)电池的一种实用性,并且用于确定全局和直射光束太阳辐射分量。本发明的MPA使用神经网络(NN)在Neal4itne中切割这两种缺失组件。这种类型的太阳能传感设备在偏远地区或未维护区域中可以有用,其中缺失值为重要性,但普通的太阳跟踪设备是不可行的。目前的MPA由21个PV电池组成,每个PV电池单独有线。还测量了平均细胞温度并用于神经网络以及电池电流以预测太阳辐射的两个部件。结果来自一个月的测试表明,MPA NN可以比文献中报告的类似多颤动计更准确地计算辐射分量。

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