Optimal selection of predictors for greenhouse gas emissions forecast in Hong Kong-Reference-Cited by-同舟云学术

Optimal selection of predictors for greenhouse gas emissions forecast in Hong Kong

Published:2022-10 Issue: Volume:370 Page:133310
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Ho W.T.,Yu F.W.

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment,Building and Construction

Reference59 articles.

1. Guideline 14-2014, Measurement of Energy and Demand Savings; Technical Report,2014

2. Forecasting GHG emissions using an optimized artificial neural network model based on correlation and principal component analysis;Antanasijević;Int. J. Greenh. Gas Control,2014

3. Modeling of energy consumption and related GHG (greenhouse gas) intensity and emissions in Europe using general regression neural networks;Antanasijević;Energy,2015

4. Linear Regression Models with Logarithmic Transformations;Benoit,2011

5. The potential challenge for the effective GHG emissions mitigation of urban energy consumption: a case study of Macau;Cai;Environ. Impact Assess. Rev.,2022

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