Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7917365 | Energy Procedia | 2017 | 6 Pages |
Abstract
The concept is based on persistence method presented in [1]. This method uses the “today equals tomorrow” concept. From [2], we know that persistence technique produces results that are more accurate as compared to other forecasting techniques for a look-ahead time of 4-6 hours. Both [1] and [2] were based on wind power forecasting. In this paper, we investigate persistence method for short-term electrical demand, solar PV (Photovoltaic) power and wind power forecasting. Since the forecasts are dependent on historical averages of the data in the 'near' past, the accuracy is inversely proportional to the variation of power between the historical data and the actual data.
Related Topics
Physical Sciences and Engineering
Energy
Energy (General)
Authors
Shreya Dutta, Yanling Li, Aditya Venkataraman, Luis M. Costa, Tianxiang Jiang, Robert Plana, Philippe Tordjman, Fook Hoong Choo, Chek Fok Foo, Hans B. Puttgen,