Modeling public holidays in load forecasting: a German case study

Author:

ZIEL Florian

Publisher

Springer Science and Business Media LLC

Subject

Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference54 articles.

1. Hong T (2010) Short term electric load forecasting. North Carolina State University, Raleigh

2. Hong T, Pinson P, Fan S (2014) Global energy forecasting competition 2012. Int J Forecast 30(2):357–363

3. Hong T, Pinson P, Fan S et al (2016) Probabilistic energy forecasting: global energy forecasting competition 2014 and beyond. Int J Forecast 32(2):896–913

4. Brubacher SR, Wilson GT (1976) Interpolating time series with application to the estimation of holiday effects on electricity demand. Appl Stat 25:107–116

5. Aquino I, Perez C, Chavez JK et al (2007) Daily load forecasting using quick propagation neural network with a special holiday encoding. In: Proceedings of 2007 international joint conference on neural networks, Orlando, USA, 12–17 Aug. 2007, pp 1935–1940

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