Demand Estimation with Automated Meter Reading in a Distribution Network
Author:
Affiliation:
1. Researcher, Dept. of Civil and Environmental Engineering, Aalto Univ., School of Science and Technology, PO Box 15200, FI-00076 AALTO, Espoo, Finland (corresponding author).
2. Xtract Oy, Hevosenkenkä 3, FI-02600 Espoo, Finland.
Publisher
American Society of Civil Engineers (ASCE)
Subject
Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering
Link
http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0000131
Reference23 articles.
1. Peak Daily Water Demand Forecast Modeling Using Artificial Neural Networks
2. Aksela K. (ed.) (2008). Final rep. of the project on developing the management of water and energy networks Helsinki Univ. of Technology Helsinki Finland (in Finnish).
3. Simulating Residential Water Demand with a Stochastic End-Use Model
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