Electricity Market Demand Prediction Algorithm Based on Deep Confidence Network
This article aims to study and develop an electricity market demand prediction algorithm based on Deep Belief Networks(DBN).With the increasing maturity and complexity of the electricity market,accurate prediction of electricity demand is crucial for the stable operation of the power system and effective management of the electricity market.As an efficient deep learning model,deep belief networks have advantages in feature extraction and pattern recognition,making them a powerful tool for predicting electricity market demand.
deep belief networkfeature extractionmodel trainingpredictive outputelectricity demand forecasting