| 基于人工智能的短期负荷预报 |
| |
| 引用本文： | 李道东,许克明. 基于人工智能的短期负荷预报[J]. 贵州工业大学学报(自然科学版), 1999, 28(4): 62-68,78 |
| |
| 作者姓名： | 李道东 许克明 |
| |
| 作者单位： | 贵州工业大学电工系,贵阳,550003 |
| |
| 摘 要： | 讨论了人工神经网络、模糊专家系统的原理；在分析负荷预报和贵州电网负荷变化特点基础上，提出了一种适用于负荷需求量增长很快的电网的短期负荷预报模型。
|
| 关 键 词： | 短期负荷预报 负荷方式 负荷峰值 负荷谷值 BP模型 模糊专家系统 Kohonen模型 |
Short Term Load Forecast Through Several Artificial Intelligent Methods |
| |
| LI Dao-dong,XU Ke-ming. Short Term Load Forecast Through Several Artificial Intelligent Methods[J]. Journal of Guizhou University of Technology(Natural Science Edition), 1999, 28(4): 62-68,78 |
| |
| Authors: | LI Dao-dong XU Ke-ming |
| |
| Abstract: | The principles of several artificial intelligent methods have been discussed.Bassd on analysing load forecasting and Guizhou power system load variation feature,this paper proposes a short term load forecasting model suitable for a developing power system like Guizhou power system. |
| |
| Keywords: | shrt term load forecasting Load pattem load peak load valley Kohonen model BP model fuzzy expert system |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
