Energy demand forecasting of the greenhouses using nonlinear models based on model optimized prediction method

Title
Energy demand forecasting of the greenhouses using nonlinear models based on model optimized prediction method
Authors
Keywords
Energy demand, Greenhouses, Sensitivity analysis, Model optimized prediction, Optimization algorithms
Journal
NEUROCOMPUTING
Volume 174, Issue -, Pages 1087-1100
Publisher
Elsevier BV
Online
2015-10-23
DOI
10.1016/j.neucom.2015.09.105

Ask authors/readers for more resources

Reprint

Contact the author

Find the ideal target journal for your manuscript

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

Search

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started