Comprehensive Forecast of Urban Water-Energy Demand Based on a Neural Network Model
Water-energy nexus has been a popular topic of rese arch in recent years. The relationships between the demand for water resources and energy are intense and closely connected in urban areas. The primary, secondary, and tertiary industry gross domestic product (GDP), the total population, the urban...
Main Authors: | Ziyi Yin, Benyou Jia, Shiqiang Wu, Jiangyu Dai, Deshan Tang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-03-01
|
Series: | Water |
Subjects: | |
Online Access: | http://www.mdpi.com/2073-4441/10/4/385 |
Similar Items
-
Design of a Fuzzy Linear Regression Model for Forecasting Transport Energy Demand: a case study of Iran
by: Mohammad Reza Taghizadeh Yazdi, et al.
Published: (2014-03-01) -
A neural network and rule based system application in water demand forecasting
by: Hartley, Joseph Alan
Published: (1995) -
Urban Water Demand Forecasting: A Comparative Evaluation of Conventional and Soft Computing Techniques
by: Oluwaseun Oyebode, et al.
Published: (2019-09-01) -
Long-Term Demand Forecasting in a Scenario of Energy Transition
by: Rafael Sánchez-Durán, et al.
Published: (2019-08-01) -
Supply and Demand Forecasting of Water Resource Coupling System in Upstream Yangtze River under Changing Environmental Conditions
by: Sijing Lou, et al.
Published: (2021-02-01)