Interval forecasting for urban water demand using PSO optimized KDE distribution and LSTM neural networks

Artificial intelligence in product lifecycle management

(2021) Lei Wang et al.   The International Journal of Advanced Manufacturing Technology

An optimized model using LSTM network for demand forecasting

(2020) Hossein Abbasimehr et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Projecting China's future water footprint under the shared socio-economic pathways

(2020) Xiaocong Xu et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

A new wind power interval prediction approach based on reservoir computing and a quality-driven loss function

(2020) Jianming Hu et al.   APPLIED SOFT COMPUTING

A multimodal particle swarm optimization-based approach for image segmentation

(2020) Taymaz Rahkar Farshi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Application of Decision-Support Tools for Seasonal Water Supply Management that Incorporates System Uncertainties and Operational Constraints

(2020) Hui Wang et al.   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT

Hybrid Model for Short-Term Water Demand Forecasting Based on Error Correction Using Chaotic Time Series

(2020) Shan Wu et al.   Water

A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer

(2020) Aytaç Altan et al.   APPLIED SOFT COMPUTING

Committee Machines for Hourly Water Demand Forecasting in Water Supply Systems

(2019) Julia K. Ambrosio et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

A multi-objective wind speed and wind power prediction interval forecasting using variational modes decomposition based Multi-Kernel Robust Ridge regression

(2019) Jyotirmayee Naik et al.   RENEWABLE ENERGY

A novel probabilistic wind speed prediction approach using real time refined variational model decomposition and conditional kernel density estimation

(2019) Yan Jiang et al.   ENERGY CONVERSION AND MANAGEMENT

Prediction interval of wind power using parameter optimized Beta distribution based LSTM model

(2019) Xiaohui Yuan et al.   APPLIED SOFT COMPUTING

An improved whale optimization algorithm for forecasting water resources demand

(2019) Wenyan Guo et al.   APPLIED SOFT COMPUTING

Kernel density estimation based sampling for imbalanced class distribution

(2019) Firuz Kamalov   INFORMATION SCIENCES

Estimation of prediction interval in ANN-based multi-GCMs downscaling of hydro-climatologic parameters

(2019) Vahid Nourani et al.   JOURNAL OF HYDROLOGY

Integrated nonlinear daily water demand forecast model (case study: City of Guelph, Canada)

(2019) Shahrzad Gharabaghi et al.   JOURNAL OF HYDROLOGY

China’s sustainable water-energy-food nexus by 2030: Impacts of urbanization on sectoral water demand

(2019) Venla Niva et al.   JOURNAL OF CLEANER PRODUCTION

Short-Term Wind Speed Interval Prediction Based on Ensemble GRU Model

(2019) Chaoshun Li et al.   IEEE Transactions on Sustainable Energy

Construction of prediction intervals using adaptive neurofuzzy inference systems

(2018) Bara Miskony et al.   APPLIED SOFT COMPUTING

A Novel approach for predicting monthly water demand by combining singular spectrum analysis with neural networks

(2018) Salah L. Zubaidi et al.   JOURNAL OF HYDROLOGY

Increased performance in the short-term water demand forecasting through the use of a parallel adaptive weighting strategy

(2018) A. Sardinha-Lourenço et al.   JOURNAL OF HYDROLOGY

A Comparative Assessment of Variable Selection Methods in Urban Water Demand Forecasting

(2018) Md Haque et al.   Water

Daily Urban Water Demand Forecasting Based on Chaotic Theory and Continuous Deep Belief Neural Network

(2018) Yuebing Xu et al.   NEURAL PROCESSING LETTERS

Enhancement of Model Reliability by Integrating Prediction Interval Optimization into Hydrogeological Modeling

(2018) K. S. Kasiviswanathan et al.   WATER RESOURCES MANAGEMENT

Wind Power Interval Forecasting Based on Confidence Interval Optimization

(2018) Xiaodong Yu et al.   Energies

Development of a kernel density estimation with hybrid estimated bounded data

(2018) Young-Jin Kang et al.   Journal of Mechanical Science and Technology

Interval-valued data prediction via regularized artificial neural network

(2018) Zebin Yang et al.   NEUROCOMPUTING

Prediction interval methodology based on fuzzy numbers and its extension to fuzzy systems and neural networks

(2018) Luis G. Marín et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Probabilistic Short-Term Water Demand Forecasting Model Based on the Markov Chain

(2017) Francesca Gagliardi et al.   Water

Calculation of solar irradiation prediction intervals combining volatility and kernel density estimates

(2016) Juan R. Trapero   ENERGY

Efficient estimation of flood forecast prediction intervals via single- and multi-objective versions of the LUBE method

(2016) Lei Ye et al.   HYDROLOGICAL PROCESSES

Hybrid Probabilistic Wind Power Forecasting Using Temporally Local Gaussian Process

(2016) Juan Yan et al.   IEEE Transactions on Sustainable Energy

A probabilistic methodology for quantifying, diagnosing and reducing model structural and predictive errors in short term water demand forecasting

(2015) Christopher J. Hutton et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Particle swarm optimization for construction of neural network-based prediction intervals

(2013) Hao Quan et al.   NEUROCOMPUTING

Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals

(2013) Hao Quan et al.   IEEE Transactions on Neural Networks and Learning Systems

Urban Water Demand Forecasting: Review of Methods and Models

(2012) Emmanuel A. Donkor et al.   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT

Water Sustainability for China and Beyond

(2012) J. Liu et al.   SCIENCE

Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances

(2011) A. Khosravi et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals

(2010) A Khosravi et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS