Load of microgrid has characteristics of strong randomicity and large fluctuation

so that single point prediction cannot satisfy the need of microgrid operating stability.In this paper

a modified multi-objective optimization prediction intervals(PIs) method for microgrid load is proposed

recurrent neural network (RNN) is adopted to build load prediction model

technique for order preference by similarity to an ideal solution and the grid selection strategy are introduced to modify multi-objective artificial bee colony algorithm(MMOABC)

which optimizes the RNN prediction model

improving the accuracy and reliability of microgrid short-term load intervals prediction.The experiment results show that the proposed method for microgrid load has superior performance

which can provide the decision-making basis for the safety and economy of microgrid operation.