Probabilistic Forecasting Analysis on Electric Load Systems
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3523-5_3
Reference21 articles.
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2. Hyndman RJ, Fan S (2010) Density forecasting for long-term peak electricity demand. IEEE Trans Power Syst 25(2):1142–1153. https://doi.org/10.1109/TPWRS.2009.2036017
3. Humeau S, Wijaya TK, Vasirani M, Aberer K (2013) Electricity load forecasting for residential customers: exploiting aggregation and correlation between households. In: 2013 sustain. Internet ICT Sustain. https://doi.org/10.1109/SUSTAINIT.2013.6685208
4. Zhu T, Shaw SR, Leeb SB (2013) Electric load transient recognition with a cluster weighted modeling method. IEEE Trans Smart Grid 4(4):2182–2190. https://doi.org/10.1109/TSG.2013.2256804
5. Gungor VC et al (2013) A survey on smart grid potential applications and communication requirements. IEEE Trans Ind Inf 9(1):28–42. https://doi.org/10.1109/TII.2012.2218253
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