Machine Learning and Deep Learning Methods in Mining Operations: a Data-Driven SAG Mill Energy Consumption Prediction Application

Building energy consumption prediction for residential buildings using deep learning and other machine learning techniques

Journal of Building Engineering ◽

10.1016/j.jobe.2021.103406 ◽

2022 ◽

Vol 45 ◽

pp. 103406

Author(s):

Razak Olu-Ajayi ◽

Hafiz Alaka ◽

Ismail Sulaimon ◽

Funlade Sunmola ◽

Saheed Ajayi

Keyword(s):

Machine Learning ◽

Deep Learning ◽

Energy Consumption ◽

Residential Buildings ◽

Building Energy ◽

Machine Learning Techniques ◽

Building Energy Consumption ◽

Learning Techniques ◽

A building energy consumption prediction model based on rough set theory and deep learning algorithms

Energy and Buildings ◽

10.1016/j.enbuild.2021.110886 ◽

2021 ◽

Vol 240 ◽

pp. 110886

Author(s):

Lei Lei ◽

Wei Chen ◽

Bing Wu ◽

Chao Chen ◽

Wei Liu

Keyword(s):

Deep Learning ◽

Energy Consumption ◽

Prediction Model ◽

Set Theory ◽

Rough Set ◽

Rough Set Theory ◽

Learning Algorithms ◽

Building Energy ◽

Interpretable deep learning model for building energy consumption prediction based on attention mechanism

Energy and Buildings ◽

10.1016/j.enbuild.2021.111379 ◽

2021 ◽

pp. 111379

Author(s):

Yuan Gao ◽

Yingjun Ruan

Keyword(s):

Deep Learning ◽

Energy Consumption ◽

Building Energy ◽

Learning Model ◽

Attention Mechanism ◽

Building Energy Consumption ◽

Deep Learning Model ◽

A review of data-driven building energy consumption prediction studies

Renewable and Sustainable Energy Reviews ◽

10.1016/j.rser.2017.04.095 ◽

2018 ◽

Vol 81 ◽

pp. 1192-1205 ◽

Cited By ~ 323

Author(s):

Kadir Amasyali ◽

Nora M. El-Gohary

Keyword(s):

Energy Consumption ◽

Building Energy ◽

Data Driven ◽

Building Energy Consumption ◽

Pattern Recognition. ICPR International Workshops and Challenges - Lecture Notes in Computer Science ◽

A Hybrid Machine Learning Approach for Energy Consumption Prediction in Additive Manufacturing

10.1007/978-3-030-68799-1_45 ◽

2021 ◽

pp. 622-636

Author(s):

Yixin Li ◽

Fu Hu ◽

Jian Qin ◽

Michael Ryan ◽

Ray Wang ◽

...

Keyword(s):

Machine Learning ◽

Energy Consumption ◽

Additive Manufacturing ◽

Learning Approach ◽

Machine Learning Approach ◽

Hybrid Machine ◽

Research on Energy Consumption Prediction Based on Machine Learning

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/791/1/012100 ◽

2021 ◽

Vol 791 (1) ◽

pp. 012100

Author(s):

Ren Liu ◽

Zhonghang Wang ◽

Haihong Chen ◽

Jie Yang

Keyword(s):

Machine Learning ◽

Energy Consumption ◽

Hybrid approach for energy consumption prediction: coupling data-driven and physical approaches

Energy and Buildings ◽

10.1016/j.enbuild.2021.111758 ◽

2021 ◽

pp. 111758

Author(s):

Kadir Amasyali ◽

Nora El-Gohary

Keyword(s):

Energy Consumption ◽

Hybrid Approach ◽

Data Driven ◽

Machine learning for energy consumption prediction and scheduling in smart buildings

SN Applied Sciences ◽

10.1007/s42452-020-2024-9 ◽

2020 ◽

Vol 2 (2) ◽

Cited By ~ 1

Author(s):

Safae Bourhnane ◽

Mohamed Riduan Abid ◽

Rachid Lghoul ◽

Khalid Zine-Dine ◽

Najib Elkamoun ◽

...

Keyword(s):

Machine Learning ◽

Energy Consumption ◽

Smart Buildings ◽

Machine learning method for energy consumption prediction of ships in port considering green ports

Journal of Cleaner Production ◽

10.1016/j.jclepro.2020.121564 ◽

2020 ◽

Vol 264 ◽

pp. 121564 ◽

Cited By ~ 2

Author(s):

Yun Peng ◽

Huakun Liu ◽

Xiangda Li ◽

Jian Huang ◽

Wenyuan Wang

Keyword(s):

Machine Learning ◽

Energy Consumption ◽

Machine Learning Method ◽

Learning Method ◽

Data driven modeling for energy consumption prediction in smart buildings

2017 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata.2017.8258499 ◽

2017 ◽

Cited By ~ 2

Author(s):

Aurora Gonzalez-Vidal ◽

Alfonso P. Ramallo-Gonzalez ◽

Fernando Terroso-Saenz ◽

Antonio Skarmeta

Keyword(s):

Energy Consumption ◽

Data Driven ◽

Smart Buildings ◽

Data Driven Modeling ◽