Open Access

Energies, volume 13, issue 22, pages 5885

Forecasting Electricity Consumption in Commercial Buildings Using a Machine Learning Approach

Junhwa Hwang ¹

Dongjun Suh ¹

Marc Oliver Otto ²

Show full list: 3 authors

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Department of Convergence and Fusion System Engineering, Kyungpook National University, Sangju 37224, Korea |

Department of Mathematics, Natural and Economic Sciences, Ulm University of Applied Sciences, Prittwitzstr, 10, 89075 Ulm, Germany |

Publication type: Journal Article

Publication date: 2020-11-11

MDPI

Journal: Energies

scimago Q1

SJR: 0.651

CiteScore: 6.2

Impact factor: 3

ISSN: 19961073

DOI: 10.3390/en13225885

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Electrical and Electronic Engineering

Energy Engineering and Power Technology

Renewable Energy, Sustainability and the Environment

Control and Optimization

Engineering (miscellaneous)

Energy (miscellaneous)

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GOST |

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GOST Copy

Hwang J., Suh D., Otto M. O. Forecasting Electricity Consumption in Commercial Buildings Using a Machine Learning Approach // Energies. 2020. Vol. 13. No. 22. p. 5885.

GOST all authors (up to 50) Copy

Hwang J., Suh D., Otto M. O. Forecasting Electricity Consumption in Commercial Buildings Using a Machine Learning Approach // Energies. 2020. Vol. 13. No. 22. p. 5885.

RIS |

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RIS Copy

TY - JOUR

DO - 10.3390/en13225885

UR - https://doi.org/10.3390/en13225885

TI - Forecasting Electricity Consumption in Commercial Buildings Using a Machine Learning Approach

T2 - Energies

AU - Hwang, Junhwa

AU - Suh, Dongjun

AU - Otto, Marc Oliver

PY - 2020

DA - 2020/11/11

PB - MDPI

SP - 5885

IS - 22

VL - 13

SN - 1996-1073

ER -

BibTex |

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BibTex (up to 50 authors) Copy

@article{2020_Hwang,

author = {Junhwa Hwang and Dongjun Suh and Marc Oliver Otto},

title = {Forecasting Electricity Consumption in Commercial Buildings Using a Machine Learning Approach},

journal = {Energies},

year = {2020},

volume = {13},

publisher = {MDPI},

month = {nov},

url = {https://doi.org/10.3390/en13225885},

number = {22},

pages = {5885},

doi = {10.3390/en13225885}

}

MLA

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MLA Copy

Hwang, Junhwa, et al. “Forecasting Electricity Consumption in Commercial Buildings Using a Machine Learning Approach.” Energies, vol. 13, no. 22, Nov. 2020, p. 5885. https://doi.org/10.3390/en13225885.

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Publisher

MDPI

Journal

Energies

scimago Q1

SJR

0.651

CiteScore

6.2

Impact factor

ISSN

19961073 (Print, Electronic)