BibTex Citation Data :
@article{Medstat21173, author = {Herni Utami and Yunita Sari and Subanar Subanar and Abdurakhman Abdurakhman and Gunardi Gunardi}, title = {PERAMALAN BEBAN LISTRIK DAERAH ISTIMEWA YOGYAKARTA DENGAN METODE SINGULAR SPECTRUM ANALYSIS (SSA)}, journal = {MEDIA STATISTIKA}, volume = {12}, number = {2}, year = {2019}, keywords = {Forecasting model; Singular Spectral Analysis; Linear Recurrent Formula; Electricity demand}, abstract = {This paper will study forecasting model for electricity demand in Yogyakarta and forecast it for 2019 until 2024. Usually, electricity demand data contain seasonal. We propose Singular Spectral Analysis-Linear Recurrent Formula (SSA-LRF) method. The SSA process consists of decomposing a time series for signal extraction and then reconstructing a less noisy series which is used for forecasting. The SSA-LRF method will be used to forecast h-step ahead. In this study, we use monthly electricity demand in Yogyakarta for 11 year (2008 to 2018). The forecasting results indicates that the forecast using window length of L=26 have good performance with MAPE of 1.9%.}, issn = {2477-0647}, pages = {214--225} doi = {10.14710/medstat.12.2.214-225}, url = {https://ejournal.undip.ac.id/index.php/media_statistika/article/view/21173} }
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