Open Access
| Issue |
E3S Web of Conf.
Volume 562, 2024
BuildSim Nordic 2024
|
|
|---|---|---|
| Article Number | 11002 | |
| Number of page(s) | 10 | |
| Section | Validation, Calibration and Uncertainty | |
| DOI | https://doi.org/10.1051/e3sconf/202456211002 | |
| Published online | 07 August 2024 | |
- K.H. Andersen, S.K. Lien, K.B. Lindberg, H.T. Walnum, I. Sartori, Further development and validation of the “PROFet” energy demand load profiles estimator. Building Simulation 2021 Conference. 17, 25-32 (2021). https://doi.org/10.26868/25222708.2021.30159 [Google Scholar]
- F.M. Dekking, C. Kraaikamp, H.P. Lopuhaä, L.E. Meester, A Modern Introduction to Probability and Statistics Understanding Why and How (Springer Science & Business Media, London, 2005) [CrossRef] [Google Scholar]
- T. Hong, P. Pinson, S. Fan, H. Zareipour, A. Troccoli, R.J. Hyndman, Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond. International Journal of forecasting. 32, 896-913 (2016). http://dx.doi.org/10.1016/j.ijforecast.2016.02.001 [CrossRef] [Google Scholar]
- M. Imani, H. Ghassemian, Electrical load forecasting using customers clustering and smart meters in Internet of Things. 9th International Symposium on Telecommunications (IST)., 113-117 (2018). https://doi.org/10.1109/ISTEL.2018.8661071 [Google Scholar]
- I.K. Nti, M. Teimeh, O. Nyarko-Boateng, A.F. Adekoya, Electricity load forecasting: a systematic review. Journal of Electrical Systems and Information Technology. 7, 1-19 (2020). https://doi.org/10.1186/s43067-020-00021-8 [CrossRef] [Google Scholar]
- F.L. Quilumba, W.J. Lee, H. Haung, D.Y. Wang, R.L. Szabados, Using smart meter data to improve the accuracy of intraday load forecasting considering customer behavior similarities. IEEE Transactions on Smart Grid. 6, 911-918 (2014). https://doi.org/10.1109/ TSG.2014.2364233 [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.