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'Staff publications' is the digital repository of Wageningen University & Research
'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.
Buka i bes vilijam fokner pdf file. Publications authored by the staff of the Research Institutes are available from 1995 onwards. Download starsat upgrade.
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- record nr. 455357
| Record number | 455357 |
|---|---|
| Title | A fully adaptive forecasting model for short-term drinking water demand |
| Author(s) | Bakker, M.; Vreeburg, J.H.G.; Schagen, K.M. van; Rietveld, L.C. |
| Source | Environmental Modelling & Software 48 (2013). - ISSN 1364-8152 - p. 141 - 151. |
| DOI | https://doi.org/10.1016/j.envsoft.2013.06.012 |
| Department(s) | Environmental Technology WIMEK |
| Refereed Article in a scientific journal | |
| 2013 | |
| Keyword(s) | distribution network - consumption - prediction - operation - systems |
| For the optimal control of a water supply system, a short-term water demand forecast is necessary. We developed a model that forecasts the water demand for the next 48 h with 15-min time steps. The model uses measured water demands and static calendar data as single input. Based on this input, the model fully adaptively derives day factors and daily demand patterns for the seven days of the week, and for a configurable number of deviant day types. Although not using weather data as input, the model is able to identify occasional extra water demand in the evening during fair weather periods, and to adjust the forecast accordingly. The model was tested on datasets containing six years of water demand data in six different areas in the central and Southern part of Netherlands. The areas have all the same moderate weather conditions, and vary in size from very large (950,000 inhabitants) to small (2400 inhabitants). The mean absolute percentage error (MAPE) for the 24-h forecasts varied between 1.44 and 5.12%, and for the 15-min time step forecasts between 3.35 and 10.44%. The model is easy to implement, fully adaptive and accurate, which makes it suitable for application in real time control. (C) 2013 Elsevier Ltd. All rights reserved. | |
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Rietveld_l 1995 Rietveld Software For Mac Os
- Than one Rietveld program to give extra confidence in the results. The IUCr CPD Rietveld Refinement Round Robins, Hill, Hill and Cranswick (Journal of Applied Crystallography, Vol. 802-843) give an account of one Rietveld program with a subtle bug that was only evident when compared to other Rietveld software.
- The classical Rietveld method The more used background in Rietveld refinements is a polynomial function in 2θ: N b is the polynomial degree a n the polynomial coefficients For more complex backgrounds specific formulas are available It is possible to incorporate also the TDS in the background € I i calc=S F f j V j 2 L k F k,j 2 S j (2θ.