The invention relates to a non-intrusive electric appliance load identification method based on a hidden
Markov chain, and discloses a non-intrusive user load identification
algorithm based on a
hidden Markov model. The method comprises the steps of constructing the number of hidden states of the electric appliance
load model, and counting the gear states of all electric appliances and the numberof the gear states of each electric appliance; constructing a model observation sequence value range, and calculating the maximum sum power of the electric appliance; determining a
transition state matrix, and counting the transition probability between every two hidden states to form a transition matrix; counting the
power consumption of the hidden state to obtain an emission matrix from the hidden state to the observation sequence; counting the
occurrence probability of each hidden state in the power utilization process of the electric appliance to form an initial
probability vector of eachhidden state; and obtaining the reading of the
current electric meter as the current observation sequence,
processing to obtain the optimal hidden state, and obtaining the current use condition of each electric appliance. The method is simple and effective, the
electricity consumption condition of the user is obtained, too many sensors do not need to be deployed, high-frequency sampling is not needed either, early warning is conducted when the load is too high, and the
electricity consumption risk is reduced.