Long-term/mid-term electric load forecasting based on short-term correlation and annual growth

By H. Al-Hamadi, S. Soliman. 2005

214 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Medium-term electric load forecasting using singular value decomposition (2011, methodology): “[13] that the daily and weekly loads correlated behavior was utilized in a first order linear regression model of the previous year, i.”
A hybrid annual power load forecasting model based on generalized regression neural network with fruit fly optimization algorithm (2013, methodology): “The traditional forecasting methods, such as regression models [1,2] and time series technology [3–5], have the disadvantage of poor non-linear fitting capability.”
Density Forecasting for Long-Term Peak Electricity Demand (2010, methodology): “…regression and time series methods (Weron, 2006; Huang 3 Density forecasting for long-term peak electricity demand and Shih, 2003; Taylor, 2003; Al-Hamadi and Soliman, 2005; McSharry et al., 2005a); artificial intelligent approaches including artificial neural networks and fuzzy logic methods…”