Improved Spatio-Temporal Linear Models for Very Short-Term Wind Speed Forecasting
作者: Tansu Filik
作者单位: 1Department of Electrical and Electronics Engineering, Anadolu University, Eskisehir 26555, Turkey
刊名: Energies, 2016, Vol.9 (3)
来源数据库: Directory of Open Access Journals
DOI: 10.3390/en9030168
关键词: Wind energyWind speedVery short-termForecastingPredictionSpatio-temporalMulti-channelAutoregressive moving average model
原始语种摘要: In this paper, the spatio-temporal (multi-channel) linear models, which use temporal and the neighbouring wind speed measurements around the target location, for the best short-term wind speed forecasting are investigated. Multi-channel autoregressive moving average (MARMA) models are formulated in matrix form and efficient linear prediction coefficient estimation techniques are first used and revised. It is shown in detail how to apply these MARMA models to the spatially distributed wind speed measurements. The proposed MARMA models are tested using real wind speed measurements which are collected from the five stations around Canakkale region of Turkey. According to the test results, considerable improvements are observed over the well known persistence, autoregressive (AR) and...
全文获取路径: DOAJ  (合作)
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关键词翻译
关键词翻译
  • autoregressive 自回归
  • short 短的
  • forecasting 预报
  • speed 速率
  • temporal 现世的
  • VAR Value-Added Remarketers
  • around 环绕
  • moving 移动
  • proposed 建议的
  • neighbouring 相邻的