基于深度置信网络的电力市场需求预测算法

Electricity Market Demand Prediction Algorithm Based on Deep Confidence Network

文章旨在研究并开发一种基于深度置信网络(Deep Belief Networks,简称DBN)的电力市场需求预测算法。随着电力市场的日益成熟和复杂,对电力需求的准确预测对于电力系统的稳定运行和电力市场的有效管理至关重要。深度置信网络作为一种高效的深度学习模型,其在特征提取和模式识别方面的优势使其成为电力市场需求预测的有力工具。

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.