Name
Title | ||
|---|---|---|
A Neural Network Short-Term Load Forecasting Considering Human Comfort Index And Its Accumulative Effect |
Abstract | ||
|---|---|---|
Short-term load forecasting is one of the most important fields of electricity demand research. Many traditional models and artificial intelligence techniques have been evaluated and tested in this task, and the Artificial Neural Network (ANN) is received much attention. In this paper a development of the artificial neural network based short-term load forecasting model considering the impact of human comfort index and its accumulative effect was proposed. The ANN structure and the training data set selection are described in the paper, and holiday load forecasting correction are adapted in this model. The implementation and results in a southeast city of China indicate that the load forecasting model developed carries out accurate forecasts. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICNC.2013.6817982 | 2013 NINTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC) |
Keywords | Field | DocType |
Load Forecasting, Artificial Neural Networks, Human Comfort Index, Accumulative Effect | Training set,Electricity demand,Computer science,Load forecasting,Artificial intelligence,Artificial neural network,Machine learning | Conference |
Citations | PageRank | References |
1 | 0.39 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Menting Dai | 1 | 1 | 0.39 |
| Zhanqing Yu | 2 | 7 | 5.08 |
| Rong Zeng | 3 | 25 | 10.40 |
| Chijie Zhuang | 4 | 5 | 2.06 |
| Jun Hu | 5 | 68 | 11.62 |
| Tongzhi Li | 6 | 1 | 0.39 |
| Jidong Liu | 7 | 1 | 0.39 |
| Weiyi Zhu | 8 | 7 | 1.59 |