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
Cited by
43 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献