A Bayesian Optimization Approach of Ensemble and Decision Tree Learning Applied to Industrial Energy Consumption Prediction

Author:

De A. Fernandes Rubens1ORCID,Seppe Fabricio R.2ORCID,Júnior Carlos T. C.1ORCID,Torné Israel G.2ORCID,Filho Claudio D. S.2ORCID,Rego Samuel B. T.2ORCID

Affiliation:

1. Federal University of Para,PPGEE - UFPA,Belém,Pará

2. State University of Amazonas,Embedded Systems Laboratory,Manaus,Amazonas

Publisher

IEEE

Reference40 articles.

1. Modeling and forecasting building energy consumption: A review of data-driven techniques

2. An energy consumption prediction model for smart factory using data mining algorithms;Sathishkumar;KIPS Transactions on Software and Data Engineering,2020

3. An adaptive backpropagation algorithm for long-term electricity load forecasting

4. Cost and cybersecurity challenges in the commissioning of micro grids in critical infrastructure: Coge case study;Kraemer,2022

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