Hybrid Models for Water Demand Forecasting-Reference-Cited by-同舟云学术

Hybrid Models for Water Demand Forecasting

Published:2021-02 Issue:2 Volume:147 Page:04020106
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Pandey Prerna¹^ORCID,Bokde Neeraj Dhanraj²^ORCID,Dongre Shilpa³,Gupta Rajesh⁴

Affiliation:

1. Research Scholar, Dept. of Civil Engineering, Visvesvaraya National Institute of Technology, Nagpur, Maharashtra 440010, India (corresponding author). ORCID: .

2. Postdoctoral Researcher, Dept. of Engineering—Renewable Energy and Thermodynamics, Aarhus Univ., Aarhus 8000, Denmark. ORCID: .

3. Assistant Professor, Dept. of Civil Engineering, Visvesvaraya National Institute of Technology, Nagpur, Maharashtra 440010, India.

4. Professor, Dept. of Civil Engineering, Visvesvaraya National Institute of Technology, Nagpur, Maharashtra 440010, India.

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.1943-5452.0001331

Reference49 articles.

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3. An empirical estimation for time and memory algorithm complexities: Newly developed R package;Agenis-Nevers M.;Multimedia Tools Appl.

4. Monthly Water Consumption Prediction Using Season Algorithm and Wavelet Transform–Based Models

5. Energy Time Series Forecasting Based on Pattern Sequence Similarity

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