Perception and decision-making for demand response based on dynamic classification of consumers

•“Operator-Aggregator-Consumers” joint framework is constructed and the aggregator's optimal trading strategy is analyzed.•To deal with market uncertainty, deep reinforcement learning is used to optimize selection and reward of the consumers.•The SOMs helps to realize dynamic consumer classification, improving the accuracy of response forecast and bid construction.