Abstract: Based on a large number of experimental data of different operating states of water storage electric water heater, the paper calculates the initial remaining available equivalent bath water and the increasing rate of equivalents bath water by using neural network method, and iteratively updates the remaining available equivalent bath water by calculating the online equivalent bath water consumption rate. The remaining bathing time can be estimated by the quotient of the difference between the equivalent bathing water volume and the equivalent bathing water consumption rate and the increase rate of the equivalent bathing water volume.

Key words: Remaining available equivalent bath water volume, Remaining bath time, Prediction method, Neural network, Water storage electric water heater