Comprehensive Forecast of Urban Water-Energy Demand Based on a Neural Network Model

Water-energy nexus: A review of methods and tools for macro-assessment

(2018) Jiangyu Dai et al.   APPLIED ENERGY

The role of water-energy nexus in optimising water supply systems – Review of techniques and approaches

(2018) Negar Vakilifard et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Black-box model for solar storage tanks based on multiple linear regression

(2018) Richárd Kicsiny   RENEWABLE ENERGY

Reductive bottom-up urban energy computing supported by multivariate cluster analysis

(2017) Neda Ghiassi et al.   ENERGY AND BUILDINGS

Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques

(2017) Wei Chen et al.   GEODERMA

Reliable and accurate point-based prediction of cumulative infiltration using soil readily available characteristics: A comparison between GMDH, ANN, and MLR

(2017) Mehdi Rahmati   JOURNAL OF HYDROLOGY

Prediction of urban residential end-use water demands by integrating known and unknown water demand drivers at multiple scales II: Model application and validation

(2017) K. Rathnayaka et al.   RESOURCES CONSERVATION AND RECYCLING

Quantification of the urban water-energy nexus in México City, México, with an assessment of water-system related carbon emissions

(2017) Adrián Moredia Valek et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information

(2017) Tiantian Yang et al.   WATER RESOURCES RESEARCH

Integrating water resources and power generation: The energy–water nexus in Illinois

(2016) Tyler A. DeNooyer et al.   APPLIED ENERGY

The Energy-Water Nexus in Texas

(2016) Ashlynn S. Stillwell et al.   ECOLOGY AND SOCIETY

The Energy–Water Nexus: Managing the Links between Energy and Water for a Sustainable Future

(2012) Karen Hussey et al.   ECOLOGY AND SOCIETY

On ordering adjustment policy under rolling forecast in supply chain planning

(2010) Li-Ting Huang et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Modeling of end-use energy consumption in the residential sector: A review of modeling techniques

(2009) Lukas G. Swan et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS