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Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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inferred← citeshttps://doi.org/10.1007/s11356-020-11490-9openalex-snapshot
Proposed formulation of surface water quality and modelling using gene expression, machine learning, and regression techniques
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inferred← citeshttps://doi.org/10.1007/s11356-022-22601-zopenalex-snapshot
The development of dissolved oxygen forecast model using hybrid machine learning algorithm with hydro-meteorological variables
inferred← citeshttps://doi.org/10.1007/s11356-022-23571-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11629-016-3884-8openalex-snapshot
Hybrid denoising-jittering data processing approach to enhance sediment load prediction of muddy rivers
inferred← citeshttps://doi.org/10.1007/s11869-017-0501-0openalex-snapshot
Building-specific factors affecting indoor radon concentration variations in different regions in Bulgaria
inferred← citeshttps://doi.org/10.1007/s12145-024-01670-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12145-025-01930-wopenalex-snapshot
Enhancing flood forecasting performance using effective and transparent explainable hybrid deep learning model
inferred← citeshttps://doi.org/10.1007/s12205-019-2446-3openalex-snapshot
An Optimal Model based on Multifactors for Container Throughput Forecasting
inferred← citeshttps://doi.org/10.1007/s12517-015-2220-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12524-024-01889-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12652-020-02849-4openalex-snapshot
nQSV-Net: a novel queuing search variant for global space search and workload modeling
inferred← citeshttps://doi.org/10.1007/s12665-017-6842-zopenalex-snapshot
Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River
inferred← citeshttps://doi.org/10.1007/s12665-017-6938-5openalex-snapshot
Support vector machines and feed-forward neural networks for spatial modeling of groundwater qualitative parameters
inferred← citeshttps://doi.org/10.1007/s12667-016-0203-yopenalex-snapshot
An overview of energy demand forecasting methods published in 2005–2015
inferred← citeshttps://doi.org/10.1007/s13198-019-00885-8openalex-snapshot
Short-term multiple power type prediction based on deep learning
inferred← citeshttps://doi.org/10.1007/s13201-026-02934-7openalex-snapshot
Integrating socio‑environmental and demographic factors in machine learning forecasts of water consumption
inferred← citeshttps://doi.org/10.1007/s13369-023-08683-yopenalex-snapshot
Modeling and Forecasting of Water Demand in the City of Istanbul Using Artificial Neural Networks Optimized with Rao Algorithms
inferred← citeshttps://doi.org/10.1007/s40032-025-01237-1openalex-snapshot
Need for a Smart Autonomous Bilge Management System: A Review
inferred← citeshttps://doi.org/10.1007/s40328-021-00338-4openalex-snapshot
Long-term temporal prediction of terrestrial water storage changes over global basins using GRACE and limited GRACE-FO data
inferred← citeshttps://doi.org/10.1007/s40710-019-00363-0openalex-snapshot
Wavelet-Exponential Smoothing: a New Hybrid Method for Suspended Sediment Load Modeling
inferred← citeshttps://doi.org/10.1007/s40808-021-01238-wopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s40808-022-01403-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s40899-025-01316-2openalex-snapshot
Pump scheduling optimization in water distribution networks, including short-term demand forecasting by deep learning
inferred← citeshttps://doi.org/10.1007/s41748-024-00507-9openalex-snapshot
Evaluating and Predicting Meteorological Drought Using Different Climate Reanalysis Datasets over New South Wales, Australia
inferred← citeshttps://doi.org/10.1007/s42461-026-01527-xopenalex-snapshot
Macroeconomic-driven Modelling of Turkish Natural Stone Exports through Multiple Nonlinear Regression
inferred← citeshttps://doi.org/10.1007/s42488-020-00031-1openalex-snapshot
Comparative analysis of forecasting for air cargo volume: Statistical techniques vs. machine learning
inferred← citeshttps://doi.org/10.1007/s44163-026-01256-6openalex-snapshot
Meta-evolved multi-task transformers for integrated water utility forecasting: a comparative study of population-based hyperparameter optimization
inferred← citeshttps://doi.org/10.1016/b978-0-12-816514-0.00002-3openalex-snapshot
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Hybrid multilayer perceptron-firefly optimizer algorithm for modelling photosynthetic active solar radiation for biofuel energy exploration
inferred← citeshttps://doi.org/10.1016/b978-0-12-817772-3.00012-4openalex-snapshot
Support vector machine model for multistep wind speed forecasting
inferred← citeshttps://doi.org/10.1016/b978-0-12-820200-5.00011-7openalex-snapshot
Impacts of global climate change on water quality and its assessment
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Short-term flood forecasting using artificial neural networks, extreme learning machines, and M5 model tree
inferred← citeshttps://doi.org/10.1016/b978-0-12-821285-1.00008-7openalex-snapshot
Relevance vector machine (RVM)
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Mix design of fly ash based alkali activated concrete
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Water demand forecasting by trend and harmonic analysis
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Predictive modeling framework accelerated by GPU computing for smart water grid data-driven analysis in near real-time
inferred← citeshttps://doi.org/10.1016/j.aei.2017.11.002openalex-snapshot
Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia
inferred← citeshttps://doi.org/10.1016/j.aei.2021.101503openalex-snapshot
An automatic energy saving strategy for a water dispenser based on user behavior
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inferred← citeshttps://doi.org/10.1016/j.aej.2026.05.014openalex-snapshot
Spatiotemporal prediction and predictive management of foundation Pit groundwater levels under multi-source disturbance: A data-driven deep learning approach
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Warmer winter under climate change would reshape the winter subsurface drainage pattern in Eastern Canada
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Deep learning-based estimation of time-dependent parameters in Markov models with application to nonlinear regression and SDEs
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A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset
inferred← citeshttps://doi.org/10.1016/j.asoc.2016.11.039openalex-snapshot
Development of PCA-based cluster quantile regression (PCA-CQR) framework for streamflow prediction: Application to the Xiangxi river watershed, China
inferred← citeshttps://doi.org/10.1016/j.atmosres.2016.10.004openalex-snapshot
Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model
inferred← citeshttps://doi.org/10.1016/j.atmosres.2017.06.014openalex-snapshot
Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm
inferred← citeshttps://doi.org/10.1016/j.atmosres.2018.02.024openalex-snapshot
An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index
inferred← citeshttps://doi.org/10.1016/j.atmosres.2018.05.012openalex-snapshot
Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region
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Circuit VRC: A circuit theory-based ventilation corridor model for mitigating the urban heat islands
inferred← citeshttps://doi.org/10.1016/j.catena.2019.02.012openalex-snapshot
Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach
inferred← citeshttps://doi.org/10.1016/j.catena.2020.104467openalex-snapshot
Estimating Proctor parameters in agricultural soils in the Ardabil plain of Iran using support vector machines, artificial neural networks and regression methods
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A batch-wise LSTM-encoder decoder network for batch process monitoring
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Industry 4.0 and demand forecasting of the energy supply chain: A literature review
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Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting
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Design of fly ash geopolymer concrete mix proportions using Multivariate Adaptive Regression Spline model
inferred← citeshttps://doi.org/10.1016/j.ecolind.2021.107621openalex-snapshot
Urbanization increased annual precipitation in temperate climate zone: A case in Beijing-Tianjin-Hebei region of North China
inferred← citeshttps://doi.org/10.1016/j.ecolind.2023.111097openalex-snapshot
Modeling stream baseflow nitrate concentration in an agricultural watershed using neural network and bootstrap method
inferred← citeshttps://doi.org/10.1016/j.ejrh.2023.101385openalex-snapshot
Groundwater level dynamics in a subtropical fan delta region and its future prediction using machine learning tools: Sustainable groundwater restoration
inferred← citeshttps://doi.org/10.1016/j.ejrh.2023.101462openalex-snapshot
Observed and projected trends in spring flood discharges for the Upper Harricana River, eastern boreal Canada
inferred← citeshttps://doi.org/10.1016/j.ejrh.2026.103636openalex-snapshot
Benchmark-guided insights into hybrid process-based-deep learning models for continental-scale streamflow prediction across the United States
inferred← citeshttps://doi.org/10.1016/j.ejrh.2026.103942openalex-snapshot
Machine learning algorithms for estimating basin-scale groundwater levels based on GRACE satellite data
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Simplified model to predict the thermal demand profile of districts
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National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?
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A review of the use of artificial intelligence methods in infrastructure systems
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Short-term high-speed rail passenger flow prediction by integrating ensemble empirical mode decomposition with multivariate grey support vector machine
inferred← citeshttps://doi.org/10.1016/j.envres.2017.09.033openalex-snapshot
A hybrid wavelet de-noising and Rank-Set Pair Analysis approach for forecasting hydro-meteorological time series
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Urban household water usage in adaptation to climate change: Evidence from China
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A fully adaptive forecasting model for short-term drinking water demand
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A probabilistic methodology for quantifying, diagnosing and reducing model structural and predictive errors in short term water demand forecasting
inferred← citeshttps://doi.org/10.1016/j.envsoft.2018.01.011openalex-snapshot
Assessing the significance of tourism and climate on residential water demand: Panel-data analysis and non-linear modelling of monthly water consumptions
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A stochastic wavelet-based data-driven framework for forecasting uncertain multiscale hydrological and water resources processes
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Quadratic decomposition and WOA-optimized CNN-ResNet-BiGRU-Attention: A novel hybrid framework for hydrological runoff forecasting
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Envisioning surprises: How social sciences could help models represent ‘deep uncertainty’ in future energy and water demand
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Groundwater level prediction using an improved ELM model integrated with hybrid particle swarm optimisation and grey wolf optimisation
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Assessing urbanization quality using structure and function analyses: A case study of the urban agglomeration around Hangzhou Bay (UAHB), China
inferred← citeshttps://doi.org/10.1016/j.ijforecast.2019.07.009openalex-snapshot
An empirical investigation of water consumption forecasting methods
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Linear and non-linear approaches to predict the Darcy-Weisbach friction factor of overland flow using the extreme learning machine approach
inferred← citeshttps://doi.org/10.1016/j.indcrop.2023.116750openalex-snapshot
Applicability of soft computing techniques for in vitro micropropagation media simulation and optimization: A comparative study on Salvia macrosiphon Boiss
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Evaluation of water supply alternatives for Istanbul using forecasting and multi-criteria decision making methods
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Evaluating the impact of “source-sink" landscape composition and configuration changes on sediment yield in watersheds using a coupled multi-model framework
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Studying the evolutions, differences, and water security impacts of water demands under shared socioeconomic pathways: A SEMs-bootstrap-ANN approach applied to Sichuan Province
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Using self-organizing maps and wavelet transforms for space–time pre-processing of satellite precipitation and runoff data in neural network based rainfall–runoff modeling
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2013.10.052openalex-snapshot
Long-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet neural network and wavelet support vector regression models
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2014.03.057openalex-snapshot
Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review
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The application of Dynamic Linear Bayesian Models in hydrological forecasting: Varying Coefficient Regression and Discount Weighted Regression
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Increased performance in the short-term water demand forecasting through the use of a parallel adaptive weighting strategy
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Prediction of GWL with the help of GRACE TWS for unevenly spaced time series data in India : Analysis of comparative performances of SVR, ANN and LRM
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2018.03.047openalex-snapshot
A Novel approach for predicting monthly water demand by combining singular spectrum analysis with neural networks
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2018.04.051openalex-snapshot
A back-fitting algorithm to improve real-time flood forecasting
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2018.05.003openalex-snapshot
Addressing the incorrect usage of wavelet-based hydrological and water resources forecasting models for real-world applications with best practices and a new forecasting framework
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2019.06.032openalex-snapshot
Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2019.06.075openalex-snapshot
Using bootstrap ELM and LSSVM models to estimate river ice thickness in the Mackenzie River Basin in the Northwest Territories, Canada
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.124901openalex-snapshot
Streamflow forecasting using extreme gradient boosting model coupled with Gaussian mixture model
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.125085openalex-snapshot
Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.125127openalex-snapshot
Coupling wavelet transform and artificial neural network for forecasting estuarine salinity
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.125380openalex-snapshot
Wavelet based hybrid ANN-ARIMA models for meteorological drought forecasting
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2021.126242openalex-snapshot
An emergency multi-objective compromise framework for reservoir operation under suddenly injected pollution
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2021.126350openalex-snapshot
Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity
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