环境与可持续发展Issue(1)：83-87,5.
基于深层神经网络的电力负荷预测
Power Load Forecast Based on Deep Neural Networks
何琬 1刘进 1朱肖晶2
作者信息
- 1. 国网能源研究院，北京 102209
- 2. 国网苏州供电公司，江苏 215004
- 折叠
摘要
Abstract
Accurate electrical load forecast has great economic and social value� In this paper, we study load forecast methods based on deep neural networks. We first analyze the critical features in load forecast. Then we present details of deep neural networks, supervised discriminative pre-training method, and the three activation functions used in this paper. We compare the performances of different neural network models and show the advantages of the proposed methods using a rather large data set of loads.关键词
负荷预测/深层神经网络/预训练/激活函数Key words
load forecast/deep neural networks/pre-training/activation function分类
资源环境引用本文复制引用
何琬,刘进,朱肖晶..基于深层神经网络的电力负荷预测[J].环境与可持续发展,2016,(1):83-87,5.
