Load Forecasting based on Fuzzy Time Series
Available Online August 2015.
- https://doi.org/10.2991/ic3me-15.2015.139How to use a DOI?
- Fuzzy time series; K-means algorithm; Fuzzidication; Fuzzy relation;Load forecasting
- 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.
- 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 -