The Application of the Optimal GM (1, 1) Model for Heating Load Forecasting

DOI

10.2991/icmmcce-15.2015.362How to use a DOI?

Keywords

optimal GM (1, 1) model; grey prediction; heating load forecasting.

Abstract

Heating load forecasting of municipal steam heating system is an important part of the smart city. According to the forecast results, heating companies can arrange production reasonably and provide heating uniform and stable to improve energy efficiency. For the features of the time series of heating monitor data, we present the optimal GM (1, 1) model based on the metabolic GM (1, 1) model. Results from theoretical analysis, simulations, and experiments show that the performance of the optimal GM (1, 1) model forecasting is effective with smaller error, robustness against outliers and able to meet forecast demand.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Guojuan Fan
AU  - Bo Li
AU  - Wanquan Mu
AU  - Cun Ji
PY  - 2015/12
DA  - 2015/12
TI  - The Application of the Optimal GM (1, 1) Model for Heating Load Forecasting
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.362
DO  - 10.2991/icmmcce-15.2015.362
ID  - Fan2015/12
ER  -