Microgrid load prediction method and device, storage medium and electronic equipment

The invention discloses a load prediction method and device of a microgrid, a storage medium and electronic equipment. The method comprises the following steps: acquiring historical load data of a micro-grid group; the historical load data is input to a target prediction model, load prediction is carried out through the target prediction model, predicted load data of the microgrid group is obtained, the target prediction model is obtained by training an initial prediction model, and hyper-parameters used by the initial prediction model are determined according to an improved northern eagle algorithm. The improved northern eagle algorithm is obtained by improving the northern eagle algorithm according to at least one of a golden sine algorithm and a Cauchy mutation algorithm. According to the invention, the technical problem of low accuracy of micro-grid load data prediction in the prior art is solved. 本发明公开了一种微电网的负荷预测方法、装置、存储介质及电子设备。涉及微电网领域，该方法包括：获取微电网群的历史负荷数据；将历史负荷数据输入至目标预测模型，通过目标预测模型进行负荷预测，得到微电网群的预测负荷数据，其中，