Thermal prediction for energy management of clouds using a hybrid model based on CNN and stacking multi-layer bi-directional LSTM

Author:

Tabrizchi HamedORCID,Razmara JafarORCID,Mosavi AmirORCID

Funder

H2020

Publisher

Elsevier BV

Subject

General Energy

Reference24 articles.

1. A bayesian deep neural network approach to seven-point thermal sensation perception;Cakir;IEEE Access,2022

2. The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation;Chicco;PeerJ Comput. Sci.,2021

3. A review of data center cooling technology, operating conditions and the corresponding low-grade waste heat recovery opportunities;Ebrahimi;Renew. Sustain. Energy Rev.,2014

4. Temperature management in data centers;El-Sayed,2012

5. Dynamic application call graph formation and service identification in cloud data centers;Elsaadawy;IEEE Trans. Netw. Serv. Manag.,2022

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