Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering

Load Forecasting based on Fuzzy Time Series

Authors
Pei Ao
Corresponding Author
Pei Ao
Available Online August 2015.
DOI
https://doi.org/10.2991/ic3me-15.2015.139How to use a DOI?
Keywords
Fuzzy time series; K-means algorithm; Fuzzidication; Fuzzy relation;Load forecasting
Abstract
Load forecasting is a traditional research issue in the field of electric power system. In this paper, an improved fuzzy time series approach is used to forecast load. Firstly, a method of unequal-sized intervals partitioning based on K-means algorithm is proposed. Secondly, improved fuzzification method is proposed to overcome the defect of traditional fuzzification method. Finally, the model is used to forecast load and the relation between the number of clustering and the prediction accuracy and the relation between the order and the prediction accuracy are studied. The validity of model is verified by prediction results.
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Proceedings
3rd International Conference on Material, Mechanical and Manufacturing Engineering (IC3ME 2015)
Part of series
Advances in Engineering Research
Publication Date
August 2015
ISBN
978-94-6252-100-1
ISSN
2352-5401
DOI
https://doi.org/10.2991/ic3me-15.2015.139How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Pei Ao
PY  - 2015/08
DA  - 2015/08
TI  - Load Forecasting based on Fuzzy Time Series
BT  - 3rd International Conference on Material, Mechanical and Manufacturing Engineering (IC3ME 2015)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/ic3me-15.2015.139
DO  - https://doi.org/10.2991/ic3me-15.2015.139
ID  - Ao2015/08
ER  -