Artificial neural network and SARIMA based models for power load forecasting in Turkish electricity market

标题
Artificial neural network and SARIMA based models for power load forecasting in Turkish electricity market
作者
关键词
Artificial neural networks, Forecasting, Electricity, Humidity, Meteorology, Neurons, Algorithms, Seasons
出版物
PLoS One
Volume 12, Issue 4, Pages e0175915
出版商
Public Library of Science (PLoS)
发表日期
2017-04-21
DOI
10.1371/journal.pone.0175915

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started