The invention discloses a power distribution network
power demand prediction method and device based on
big data analysis and a medium, and belongs to the technical field of
power demand prediction, and the method comprises the steps: dividing a power distribution network into a plurality of power nodes, collecting the power data of the power nodes, and carrying out the screening to obtain power abnormal nodes; demand information of the power abnormal node is collected, and a
power consumption demand event is extracted according to the demand information; acquiring event information of the
power consumption demand event, and evaluating according to the event information to obtain a
propagation effect condition of the
power consumption demand event; acquiring a real-time prediction demand value of a power abnormal node, and determining power change values of other power nodes in combination with a
propagation effect condition; and collecting real-time environment data of the power node, predicting according to the real-time environment data to obtain a basic
power demand value, and superposing the power change value to obtain a real-time power demand value. The accuracy of power distribution network power demand prediction based on
big data analysis is improved.