Multi-region short-term load forecasting in consideration of Heat Index and load/weather diversity

Multi-substation control central load area forecasting by using HP-filter and double neural networks (HP-DNNs)

“…At the past, we found some problems, the first is the appropriate variable classification, the second is a model complexity, and the third is the forecasting accuracy between multi regions and whole area. In the present, there are a few articles published for solving these problems in the world [7,[11][12][13][14][15][16]. Thus, we had tried to find a new method used for reducing these problems, which we had already found it.…”

“…ANN method is used for prediction applications in several researches [5,7,8,[10][11][12][13][14][15][16]19] in order to solve the complexity of Industrial index IDI Table 5 The correlation coefficients between SCCA load demand samples and factors (before preprocessing by using HP-filter). (9).…”

“…(12) and Eqs. (13), (14) by combining the results from substation control central area (SCCA) to whole area (WA) forecasted value of the country. …”