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Demand forecasting for real-time operational control

Author
Saludes, J.; Quevedo, J.; Puig, V.
Type of activity
Book chapter
Book
Real-time monitoring and operational control of drinking-water systems
First page
99
Last page
113
Publisher
Springer
Date of publication
2017
ISBN
978-3-319-50750-7 Open in new window
DOI
https://doi.org/10.1007/978-3-319-50751-4 Open in new window
Repository
http://hdl.handle.net/2117/113517 Open in new window
http://hdl.handle.net/2117/116317 Open in new window
URL
https://link.springer.com/book/10.1007%2F978-3-319-50751-4 Open in new window
Abstract
This book presents a set of approaches for the real-time monitoring and control of drinking-water networks based on advanced information and communication technologies. It shows the reader how to achieve significant improvements in efficiency in terms of water use, energy consumption, water loss minimization, and water quality guarantees. The methods and approaches presented are illustrated and have been applied using real-life pilot demonstrations based on the drinking-water network in Barcelo...
Citation
Saludes, J., Quevedo, J., Puig, V. Demand forecasting for real-time operational control. A: Puig Cayuela, Vicenç, Ocampo Martinez, Carlos Augusto, Perez Magrane, Ramon, Cembrano Gennari, M.gabriela Elena, Quevedo Casin, Joseba-jokin, Escobet Canal, T. "Real-time monitoring and operational control of drinking-water systems". Berlín: Springer, 2017, p. 99-113.
Keywords
ARIMA Model, Demand Forecasting, Smoothing Method
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems
SIC - Smart Control Systems

Participants