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Stefano Alvisi   Professor  Senior Scientist or Principal Investigator 
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Stefano Alvisi published an article in August 2017.
Top co-authors See all
Dragan Savic

205 shared publications

Centre for Water Systems, University of Exeter, North Park Road, Exeter EX4 4QF, UK

Zoran Kapelan

104 shared publications

Professor, Centre for Water Systems, College of Engineering, Mathematics, and Physical Sciences, Univ. of Exeter, North Park Rd., Harrison Bldg., Exeter EX4 4QF, UK

Tommaso Moramarco

103 shared publications

IRPI, Consiglio Nazionale delle Ricerche, via Madonna Alta 126, 06128 Perugia, Italy

Silvio Simani

90 shared publications

Dipartimento di Ingegneria, Università degli Studi di Ferrara, Via Saragat 1E, 44122 Ferrara, Italy

Mauro Venturini

85 shared publications

Dipartimento di Ingegneria, Università degli Studi di Ferrara, Ferrara 44121, Italy Via Giuseppe Saragat, 1

49
Publications
57
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1
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199
Citations
Publication Record
Distribution of Articles published per year 
(2003 - 2017)
Total number of journals
published in
 
20
 
Publications See all
Article 0 Reads 0 Citations A robust approach based on time variable trigger levels for pump control Stefano Alvisi, Marco Franchini Published: 05 August 2017
Journal of Hydroinformatics, doi: 10.2166/hydro.2017.141
DOI See at publisher website
Article 1 Read 0 Citations Benchmarking of Advanced Control Strategies for a Simulated Hydroelectric System S. Finotti, S. Simani, S. Alvisi, Mauro Venturini Published: 19 January 2017
Journal of Physics: Conference Series, doi: 10.1088/1742-6596/783/1/012041
DOI See at publisher website
CONFERENCE-ARTICLE 7 Reads 0 Citations <strong>A short-term water demand forecasting model based on a short moving window of previously observed data</strong> Elena Pacchin, Stefano Alvisi, Marco Franchini Published: 16 November 2016
The 1st International Electronic Conference on Water Sciences, doi: 10.3390/ecws-1-d002
DOI See at publisher website ABS Show/hide abstract

Short-term water demand forecasting is a useful tool for water distribution system management. In fact, an accurate prediction of water consumptions of a network or a part of it can support the scheduling of the main devices of the network, such as pumping stations or valves.

In this paper a model for short term water demand forecasting is proposed. The model is structured in order to provide at each hour the water demand forecast for the next 24 hour basing on coefficients estimated according to a short moving window of previously observed data.

More in details, the hourly forecast is performed in two steps: in the first step the average water demand for the next 24 hours (Q24) is forecasted multiplying the average water consumption observed in the last 24 hours by a previously estimated coefficient; in the second step, the water consumption of each of the next 24 hours is forecasted multiplying the forecasted Q24 by hourly coefficients. The coefficients’ values (both the one used to forecast the Q24 and those used to forecast the hourly values) are updated at each hour on the basis of the water demands observed in the last n (e.g. n=4) weeks.

The model is applied to a real case study; the analysis of the results, and their comparison with those provided by another short term water demand forecasting model already presented in the scientific literature, highlights that the proposed model provides an accurate and robust forecast, resulting in an efficient tool for real time management of water distribution networks requiring a very small effort for its parameterization.

Article 4 Reads 1 Citation Analysis of Non-Iterative Methods and Proposal of a New One for Pressure-Driven Snapshot Simulations with EPANET E. Pacchin, S. Alvisi, M. Franchini Published: 11 October 2016
Water Resources Management, doi: 10.1007/s11269-016-1511-7
DOI See at publisher website
Article 2 Reads 8 Citations Fault tolerant control of a simulated hydroelectric system Silvio Simani, Stefano Alvisi, Mauro Venturini Published: 01 June 2016
Control Engineering Practice, doi: 10.1016/j.conengprac.2016.03.010
DOI See at publisher website
Article 3 Reads 1 Citation Multistep Approach for Optimizing Design and Operation of the C-Town Pipe Network Model Enrico Creaco, Stefano Alvisi, Marco Franchini Published: 01 May 2016
Journal of Water Resources Planning and Management, doi: 10.1061/(asce)wr.1943-5452.0000585
DOI See at publisher website
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