XJTU-SES
Description
XJTU-SES dataset, which simulates various operating conditions of a photovoltaic IES, encompassing multiple sub-datasets. Our code are also available at Github. Our open-source dataset is named XJTU-SES, which contains three sub-datasets with sampling frequencies of 1Hz, 0.5Hz, and 0.1Hz, respectively. And the data length of each sub-dataset is greater than 20000. The details of the sensors are shown in Table V, which includes 33 sensors. This dataset is a forecasting dataset similar to ETTh1, with a specific focus on individual photovoltaic energy systems. It can be utilized for researches related to predictive maintenance and energy control and allocation. Currently, there are relatively abundant grid-level IES dataset resources, especially in smart grids field. However, there are very few public dataset resources for single photovoltaic devices, especially for spacecraft, mainly due to the difficulty of data acquisition and the principle of confidentiality. Nevertheless, given the significant economic value and potential losses incurred by these devices upon failure, predictive maintenance are essential. Consequently, we have released this dataset for contributing to the research about unit-level photovoltaic energy systems. Our experiment platform is shown in Fig. 4, including SA (Solar Array Simulator) for simulating the solar array to provide power, BCR (Battery Charge Regulator) for regulating the battery charge, BAT (Battery Set) for storing the power, PDM (Power Distribute Module) for distributing the power, PCU (Power Control Unit) for controlling the power, and LOAD (Load Simulator) for simulating the load to consume the power. Its detailed experimental settings and sensor information can be found in Appendix.