Industry Energy Consumption Prediction Using Data Mining Techniques

Energy Consumption Prediction by Using an Integrated Multidimensional Modeling Approach and Data Mining Techniques with Big Data

Lecture Notes in Computer Science - Advances in Conceptual Modeling ◽

10.1007/978-3-319-12256-4_5 ◽

2014 ◽

pp. 45-54 ◽

Cited By ~ 2

Author(s):

Jesús Peral ◽

Antonio Ferrández ◽

Roberto Tardío ◽

Alejandro Maté ◽

Elisa de Gregorio

Keyword(s):

Data Mining ◽

Big Data ◽

Energy Consumption ◽

Data Mining Techniques ◽

Modeling Approach ◽

Multidimensional Modeling ◽

Investigating the added values of high frequency energy consumption data using data mining techniques

10.1063/1.4904645 ◽

2014 ◽

Author(s):

Ying Ni ◽

Christopher Engström ◽

Anatoliy Malyarenko ◽

Fredrik Wallin

Keyword(s):

Data Mining ◽

Energy Consumption ◽

High Frequency ◽

Data Mining Techniques ◽

Consumption Data ◽

Energy Consumption Prediction using Data Stream Learning for Commercial Buildings

2020 International Conference on Systems, Signals and Image Processing (IWSSIP) ◽

10.1109/iwssip48289.2020.9145123 ◽

2020 ◽

Author(s):

Luis Felipe de O. Fernandes ◽

Flavia Bernardini ◽

Edwin Mitacc Meza ◽

Leandro Miranda ◽

Jose Viterbo

Keyword(s):

Energy Consumption ◽

Data Stream ◽

Commercial Buildings ◽

Using Data ◽

Fault Detection Analysis of Building Energy Consumption Using Data Mining Techniques

Energy Procedia ◽

10.1016/j.egypro.2013.11.057 ◽

2013 ◽

Vol 42 ◽

pp. 557-566 ◽

Cited By ~ 42

Author(s):

Imran Khan ◽

Alfonso Capozzoli ◽

Stefano Paolo Corgnati ◽

Tania Cerquitelli

Keyword(s):

Data Mining ◽

Energy Consumption ◽

Fault Detection ◽

Building Energy ◽

Building Energy Consumption ◽

Data Mining Techniques ◽

Detection Analysis ◽

Estimation of energy consumption on the tire-pavement interaction for asphalt mixtures with different surface properties using data mining techniques

Transportation Research Part D Transport and Environment ◽

10.1016/j.trd.2018.12.022 ◽

2019 ◽

Vol 67 ◽

pp. 421-432 ◽

Cited By ~ 4

Author(s):

João Paulo C. Araújo ◽

Carlos A.O. Palha ◽

Francisco F. Martins ◽

Hugo M.R.D. Silva ◽

Joel R.M. Oliveira

Keyword(s):

Data Mining ◽

Energy Consumption ◽

Surface Properties ◽

Asphalt Mixtures ◽

Data Mining Techniques ◽

Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate ◽

Energy Consumption Prediction for a Recreation Facility Using Data-Driven Techniques

10.1007/978-981-15-8892-1_118 ◽

2021 ◽

pp. 1683-1694

Author(s):

Paul Banda ◽

Muhammed A. Bhuiyan ◽

Kevin Zhang ◽

Andy Song

Keyword(s):

Energy Consumption ◽

Data Driven ◽

Using Data ◽

2015 2nd International Conference on Pattern Recognition and Image Analysis (IPRIA) ◽

Analysis and predicting electricity energy consumption using data mining techniques — A case study I.R. Iran — Mazandaran province

10.1109/pria.2015.7161634 ◽

2015 ◽

Cited By ~ 3

Author(s):

Noorollah Karimtabar ◽

Sadegh Pasban ◽

Siavash Alipour

Keyword(s):

Data Mining ◽

Energy Consumption ◽

Mazandaran Province ◽

Data Mining Techniques ◽

Using Data ◽

Electricity Energy Consumption

Context-redefined language synthesis for energy consumption prediction using data from mixed remote sensors types

Remote Sensing Technologies and Applications in Urban Environments III ◽

10.1117/12.2517147 ◽

2018 ◽

Author(s):

Alexey O. Belyaev ◽

Anton S. Boldyrev ◽

Vladimir N. Podsvirov ◽

Vladimir B. Podoprigora ◽

Sergey A. Sinutin

Keyword(s):

Energy Consumption ◽

Remote Sensors ◽

Using Data ◽

Three-level Classification of Air Conditioning Energy Consumption for Building Energy Management System Using Data Mining Techniques

2019 IEEE PES GTD Grand International Conference and Exposition Asia (GTD Asia) ◽

10.1109/gtdasia.2019.8716004 ◽

2019 ◽

Author(s):

Pornpra Chumnanvanichkul ◽

Pisitpol Chirapongsananurak ◽

Naebboon Hoonchareon

Keyword(s):

Data Mining ◽

Energy Consumption ◽

Energy Management ◽

Air Conditioning ◽

Building Energy ◽

Energy Management System ◽

Data Mining Techniques ◽

Building Energy Management ◽

Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques

Applied Energy ◽

10.1016/j.apenergy.2014.04.016 ◽

2014 ◽

Vol 127 ◽

pp. 1-10 ◽

Cited By ~ 217

Author(s):

Cheng Fan ◽

Fu Xiao ◽

Shengwei Wang

Keyword(s):

Data Mining ◽

Energy Consumption ◽

Peak Power ◽

Prediction Models ◽

Building Energy ◽

Power Demand ◽

Building Energy Consumption ◽

Data Mining Techniques ◽