论文标题
使用堆叠的无状态和状态封闭式复发单元模型的全面预测分析
Comprehensive forecasting based analysis using stacked stateless and stateful Gated Recurrent Unit models
论文作者
论文摘要
光伏电源是可再生能源，在行业中高度使用。在经济挣扎的国家，由于其他不可再生资源已经筋疲力尽，因此它可能是电能的潜在来源。现在，如果在研究之前完成了在区域中的光伏电池的安装，则可能无法提供运行该区域所需的所需能量输出。因此，需要进行预测，该预测可以引起特定区域的输出，考虑到其几何坐标，诸如GHI之类的太阳参数以及温度和风速等天气参数等。我们的论文探讨了在四个这样的区域上对太阳辐照的预测，其中三个在西孟加拉邦以及在外面使用堆叠的Grederrent单元（Gruu）模型。我们已经检查了状态堆叠的封闭式复发单元模型可显着提高预测准确性。
Photovoltaic power is a renewable source of energy which is highly used in industries. In economically struggling countries it can be a potential source of electric energy as other non-renewable resources are already exhausting. Now if installation of a photovoltaic cell in a region is done prior to research, it may not provide the desired energy output required for running that region. Hence forecasting is required which can elicit the output from a particular region considering its geometrical coordinates, solar parameter like GHI and weather parameters like temperature and wind speed etc. Our paper explores forecasting of solar irradiance on four such regions, out of which three is in West Bengal and one outside to depict with using stacked Gated Recurrent Unit (GRU) models. We have checked that stateful stacked gated recurrent unit model improves the prediction accuracy significantly.
