Abstract
AbstractThis paper considers the energy demand prediction problem and formulates it in the framework of hierarchical Bayesian nonlinear time series prediction with a neural net. As a practical problem, the method is applied to thermal load prediction of a formal energy storage system and the results are presented. © 2003 Wiley Periodicals, Inc. Syst Comp Jpn, 34(11): 101–110, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/scj.1217
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Paper version not known
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
