The invention discloses a heat accumulation electric boiler and clean energy prediction matching and consumption control method, and the method comprises the steps: collecting weather factor data and photovoltaic energy curtailment data, and obtaining a training sample set through normalization processing; 2, designing a fuzzy Bayesian neural network model comprising an input layer, a hidden layer and an output layer, and selecting an excitation function, a training function, and a learning function; 3, applying the obtained optimal network prediction model in a distributed photovoltaic power generation system, so as to obtain the photovoltaic energy curtailment quantity of a photovoltaic power station under the different weather factor conditions; 4, giving consideration to an economic performance index under the condition that the photovoltaic energy curtailment quantity of the photovoltaic power station is predicted, and enabling a distributed heat accumulation electric boiler to extremely consume the photovoltaic energy curtailment quantity through the reference of the predicted photovoltaic energy curtailment quantity and an index which enables the combined operation benefit of the photovoltaic power station and the heat accumulation electric boiler and environment benefit. The method solves problems that a conventional consumption mode is not flexible, is low in consumption efficiency, and is not sufficient in consumption capability.