Predicting Building Energy Consumption by Time Series Model Based on Machine Learning and Empirical Mode Decomposition

2020 5th IEEE International Conference on Big Data Analytics (ICBDA) ◽

10.1109/icbda49040.2020.9101335 ◽

2020 ◽

Author(s):

Dandan Liu ◽

Qiangqiang Yang ◽

Fang Yang

Keyword(s):

Machine Learning ◽

Time Series ◽

Energy Consumption ◽

Empirical Mode Decomposition ◽

Building Energy ◽

Time Series Model ◽

Building Energy Consumption ◽

Model Based ◽

Mode Decomposition

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A novel time-series model based on empirical mode decomposition for forecasting TAIEX

Economic Modelling ◽

10.1016/j.econmod.2013.09.033 ◽

2014 ◽

Vol 36 ◽

pp. 136-141 ◽

Author(s):

Ching-Hsue Cheng ◽

Liang-Ying Wei

Keyword(s):

Time Series ◽

Empirical Mode Decomposition ◽

Time Series Model ◽

Model Based ◽

Mode Decomposition

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A Non-stationary Analysis Using Ensemble Empirical Mode Decomposition to Detect Anomalies in Building Energy Consumption

Procedia Engineering ◽

10.1016/j.proeng.2016.04.137 ◽

2016 ◽

Vol 145 ◽

pp. 1059-1065 ◽

Author(s):

Hariharan Naganathan ◽

Wai K. Chong ◽

Zigang Huang ◽

Ying Cheng

Keyword(s):

Energy Consumption ◽

Empirical Mode Decomposition ◽

Building Energy ◽

Ensemble Empirical Mode Decomposition ◽

Building Energy Consumption ◽

Stationary Analysis ◽

Mode Decomposition

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Time series analytics using sliding window metaheuristic optimization-based machine learning system for identifying building energy consumption patterns

Applied Energy ◽

10.1016/j.apenergy.2016.05.074 ◽

2016 ◽

Vol 177 ◽

pp. 751-770 ◽

Author(s):

Jui-Sheng Chou ◽

Ngoc-Tri Ngo

Keyword(s):

Machine Learning ◽

Time Series ◽

Energy Consumption ◽

Sliding Window ◽

Building Energy ◽

Learning System ◽

Consumption Patterns ◽

Building Energy Consumption ◽

Metaheuristic Optimization ◽

Energy Consumption Patterns

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An Intelligent and Hybrid Weighted Fuzzy Time Series Model Based on Empirical Mode Decomposition for Financial Markets Forecasting

Advances in Data Mining. Applications and Theoretical Aspects - Lecture Notes in Computer Science ◽

10.1007/978-3-319-95786-9_8 ◽

2018 ◽

pp. 104-118 ◽

Author(s):

Ruixin Yang ◽

Junyi He ◽

Mingyang Xu ◽

Haoqi Ni ◽

Paul Jones ◽

...

Keyword(s):

Time Series ◽

Financial Markets ◽

Empirical Mode Decomposition ◽

Time Series Model ◽

Fuzzy Time Series ◽

Model Based ◽

Mode Decomposition

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Identifying critical building-oriented features in city-block-level building energy consumption: A data-driven machine learning approach

Applied Energy ◽

10.1016/j.apenergy.2021.117453 ◽

2021 ◽

Vol 301 ◽

pp. 117453

Author(s):

Zhongnan Ye ◽

Kuangly Cheng ◽

Shu-Chien Hsu ◽

Hsi-Hsien Wei ◽

Clara Man Cheung

Keyword(s):

Machine Learning ◽

Energy Consumption ◽

Building Energy ◽

Data Driven ◽

Learning Approach ◽

Building Energy Consumption ◽

Machine Learning Approach ◽

Block Level ◽

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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 ◽

Energy Consumption Prediction ◽

Consumption Prediction

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Spatial and Temporal Modeling of Urban Building Energy Consumption Using Machine Learning and Open Data

Computing in Civil Engineering 2019 ◽

10.1061/9780784482445.059 ◽

2019 ◽

Author(s):

Jonathan Roth ◽

Aimee Bailey ◽

Sonika Choudhary ◽

Rishee K. Jain

Keyword(s):

Machine Learning ◽

Energy Consumption ◽

Open Data ◽

Building Energy ◽

Building Energy Consumption ◽

Temporal Modeling

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Design of building energy consumption monitoring model based on parallel cloud computing

International Journal of Global Energy Issues ◽

10.1504/ijgei.2020.111174 ◽

2020 ◽

Vol 42 (5/6) ◽

pp. 457

Author(s):

Xiaoju Sun

Keyword(s):

Cloud Computing ◽

Energy Consumption ◽

Building Energy ◽

Building Energy Consumption ◽

Model Based ◽

Monitoring Model

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Machine learning for estimation of building energy consumption and performance: a review

Visualization in Engineering ◽

10.1186/s40327-018-0064-7 ◽

2018 ◽

Vol 6 (1) ◽

Author(s):

Saleh Seyedzadeh ◽

Farzad Pour Rahimian ◽

Ivan Glesk ◽

Marc Roper

Keyword(s):

Machine Learning ◽

Energy Consumption ◽

Building Energy ◽

Building Energy Consumption ◽

And Performance

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Research on Chaotic Time Series Prediction Model for Building Energy Consumption

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/242/6/062037 ◽

2019 ◽

Vol 242 ◽

pp. 062037

Author(s):

Jiali Wang ◽

Junqi Yu ◽

Yalin Nan ◽

Yue Zhang ◽

Xue Yang

Keyword(s):

Time Series ◽

Energy Consumption ◽

Prediction Model ◽

Time Series Prediction ◽

Building Energy ◽

Chaotic Time Series ◽

Building Energy Consumption ◽

Chaotic Time Series Prediction

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