Deep learning with long short-term memory neural networks combining wavelet transform and principal component analysis for daily urban water demand forecasting

A novel deep learning ensemble model with data denoising for short-term wind speed forecasting

(2020) Zhiyun Peng et al.   ENERGY CONVERSION AND MANAGEMENT

A granular deep learning approach for predicting energy consumption

(2020) Rabin K. Jana et al.   APPLIED SOFT COMPUTING

A long-term prediction approach based on long short-term memory neural networks with automatic parameter optimization by Tree-structured Parzen Estimator and applied to time-series data of NPP steam generators

(2020) Hoang-Phuong Nguyen et al.   APPLIED SOFT COMPUTING

Online detection of financial time series peaks and troughs: A probability‐based approach

(2019) Riccardo Bramante et al.   Statistical Analysis and Data Mining

Optimization of neural network with wavelet transform and improved data selection using bat algorithm for short-term load forecasting

(2019) P.M.R. Bento et al.   NEUROCOMPUTING

Analysis of the use of discrete wavelet transforms coupled with ANN for short-term streamflow forecasting

(2019) Paula Karenina de Macedo Machado Freire et al.   APPLIED SOFT COMPUTING

Electricity Price Prediction Based on Hybrid Model of Adam optimized LSTM Neural Network and Wavelet Transform

(2019) Zihan Chang et al.   ENERGY

A Hybrid Model Based on Principal Component Analysis, Wavelet Transform, and Extreme Learning Machine Optimized by Bat Algorithm for Daily Solar Radiation Forecasting

(2019) Zhang et al.   Sustainability

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

(2019) Xiaohui Yuan et al.   APPLIED SOFT COMPUTING

A coordinated dispatch method for energy storage power system considering wind power ramp event

(2019) Li Han et al.   APPLIED SOFT COMPUTING

A novel deep learning method based on attention mechanism for bearing remaining useful life prediction

(2019) Yuanhang Chen et al.   APPLIED SOFT COMPUTING

An improved whale optimization algorithm for forecasting water resources demand

(2019) Wenyan Guo et al.   APPLIED SOFT COMPUTING

Improving DWT-RNN model via B-spline wavelet multiresolution to forecast a high-frequency time series

(2019) Zeinab Hajiabotorabi et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

(2019) Shahrzad Gharabaghi et al.   JOURNAL OF HYDROLOGY

Stochastic unit commitment in microgrids: Influence of the load forecasting error and the availability of energy storage

(2019) Lázaro Alvarado-Barrios et al.   RENEWABLE ENERGY

Tuning hyperparameters of a SVM-based water demand forecasting system through parallel global optimization

(2018) Antonio Candelieri et al.   COMPUTERS & OPERATIONS RESEARCH

A Novel Dual-Scale Deep Belief Network Method for Daily Urban Water Demand Forecasting

(2018) Yuebing Xu et al.   Energies

Deep learning with long short-term memory networks for financial market predictions

(2018) Thomas Fischer et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module

(2018) Yujin Baek et al.   EXPERT SYSTEMS WITH APPLICATIONS

Nonparametric algorithm for identification of outliers in environmental data

(2018) Martina Čampulová et al.   JOURNAL OF CHEMOMETRICS

Smart city with Chinese characteristics against the background of big data: Idea, action and risk

(2018) Yuzhe Wu et al.   JOURNAL OF CLEANER PRODUCTION

An adaptive mechanism to achieve learning rate dynamically

(2018) Jinjing Zhang et al.   NEURAL COMPUTING & APPLICATIONS

Monthly water demand prediction using wavelet transform, first-order differencing and linear detrending techniques based on multilayer perceptron models

(2018) Abdusselam Altunkaynak et al.   Urban Water Journal

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

(2018) Md Haque et al.   Water

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

(2018) Ziyi Yin et al.   Water

Short-Term Water Demand Forecast Based on Deep Learning Method

(2018) Guancheng Guo et al.   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT

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

(2018) Yuebing Xu et al.   NEURAL PROCESSING LETTERS

Optimizing long short-term memory recurrent neural networks using ant colony optimization to predict turbine engine vibration

(2018) AbdElRahman ElSaid et al.   APPLIED SOFT COMPUTING

Probabilistic individual load forecasting using pinball loss guided LSTM

(2018) Yi Wang et al.   APPLIED ENERGY

Early chatter detection in end milling based on multi-feature fusion and 3σ criterion

(2017) Hongrui Cao et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Hybrid regression model for near real-time urban water demand forecasting

(2017) Bruno M. Brentan et al.   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

Red tide time series forecasting by combining ARIMA and deep belief network

(2017) Mengjiao Qin et al.   KNOWLEDGE-BASED SYSTEMS

Multiple Random Forests Modelling for Urban Water Consumption Forecasting

(2017) Guoqiang Chen et al.   WATER RESOURCES MANAGEMENT

Overview, Comparative Assessment and Recommendations of Forecasting Models for Short-Term Water Demand Prediction

(2017) Amos Anele et al.   Water

A hybrid forecasting approach applied in the electrical power system based on data preprocessing, optimization and artificial intelligence algorithms

(2016) Ping Jiang et al.   APPLIED MATHEMATICAL MODELLING

Comparison of Discrete and Continuous Wavelet–Multilayer Perceptron Methods for Daily Precipitation Prediction

(2016) Abdusselam Altunkaynak et al.   JOURNAL OF HYDROLOGIC ENGINEERING

On the importance of sluggish state memory for learning long term dependency

(2016) Jonathan A. Tepper et al.   KNOWLEDGE-BASED SYSTEMS

Mean Absolute Percentage Error for regression models

(2016) Arnaud de Myttenaere et al.   NEUROCOMPUTING

Time series forecasting based on wavelet filtering

(2015) Tae Woo Joo et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep learning

(2015) Yann LeCun et al.   NATURE

Adaptable urban water demand prediction system

(2015) G. Banjac et al.   Water Science and Technology-Water Supply

Water quality sample collection, data treatment and results presentation for principal components analysis – literature review and Illinois River watershed case study

(2012) Roger L. Olsen et al.   WATER RESEARCH

Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm

(2010) Tsung-Jung Hsieh et al.   APPLIED SOFT COMPUTING