Hybrid ensemble intelligent model based on wavelet transform, swarm intelligence and artificial neural network for electricity demand forecasting

A hybrid approach based on autoregressive integrated moving average and least-square support vector machine for long-term forecasting of net electricity consumption

(2020) Fazil Kaytez   ENERGY

A proposed intelligent short-term load forecasting hybrid models of ANN, WNN and KF based on clustering techniques for smart grid

(2020) Hamed H.H. Aly   ELECTRIC POWER SYSTEMS RESEARCH

Forecasting the annual household electricity consumption of Chinese residents using the DPSO-BP prediction model

(2020) Lei Wen et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Monitoring the quality of water in shrimp ponds and forecasting of dissolved oxygen using Fuzzy C means clustering based radial basis function neural networks

(2020) A. P. Roger Rozario et al.   Journal of Ambient Intelligence and Humanized Computing

A novel hybrid forecasting scheme for electricity demand time series

(2020) Ranran Li et al.   Sustainable Cities and Society

A novel hybrid modelling structure fabricated by using Takagi-Sugeno fuzzy to forecast HVAC systems energy demand in real-time for Basra city

(2020) Raad Z. Homod et al.   Sustainable Cities and Society

Assessment of multiple-based demand response actions for peak residential electricity reduction in Ghana

(2020) Felix Amankwah Diawuo et al.   Sustainable Cities and Society

A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm

(2019) Feifei He et al.   APPLIED ENERGY

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

Real-time study of a photovoltaic system with boost converter using the PSO-RBF neural network algorithms in a MyRio controller

(2019) Hichem Hamdi et al.   SOLAR ENERGY

A novel fractional time delayed grey model with Grey Wolf Optimizer and its applications in forecasting the natural gas and coal consumption in Chongqing China

(2019) Xin Ma et al.   ENERGY

Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition

(2019) Ümit Çavuş Büyükşahin et al.   NEUROCOMPUTING

Disaggregation and characterization of residential electricity use: Analysis for Ghana

(2019) Felix Amankwah Diawuo et al.   Sustainable Cities and Society

Daily natural gas consumption forecasting via the application of a novel hybrid model

(2019) Nan Wei et al.   APPLIED ENERGY

A novel combined model based on hybrid optimization algorithm for electrical load forecasting

(2019) Rui Wang et al.   APPLIED SOFT COMPUTING

Forecasting China's oil consumption: A comparison of novel nonlinear-dynamic grey model (GM), linear GM, nonlinear GM and metabolism GM

(2019) Qiang Wang et al.   ENERGY

A novel hybrid model based on VMD-WT and PCA-BP-RBF neural network for short-term wind speed forecasting

(2019) Yagang Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

Forecasting short-term renewable energy consumption of China using a novel fractional nonlinear grey Bernoulli model

(2019) Wenqing Wu et al.   RENEWABLE ENERGY

A SARIMA-RVFL hybrid model assisted by wavelet decomposition for very short-term solar PV power generation forecast

(2019) Vishal Kushwaha et al.   RENEWABLE ENERGY

An adaptive hybrid model for short term electricity price forecasting

(2019) Jinliang Zhang et al.   APPLIED ENERGY

A novel fuzzy-based ensemble model for load forecasting using hybrid deep neural networks

(2019) George Sideratos et al.   ELECTRIC POWER SYSTEMS RESEARCH

Multi-objective PSO applied to PI control of DFIG wind turbine under electrical fault conditions

(2019) Milton Ernesto Barrios Aguilar et al.   ELECTRIC POWER SYSTEMS RESEARCH

Forecasting of Turkey's greenhouse gas emissions using linear and nonlinear rolling metabolic grey model based on optimization

(2019) Utkucan Şahin   JOURNAL OF CLEANER PRODUCTION

Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting

(2018) Mohanad S. AL-Musaylh et al.   APPLIED ENERGY

Short term electricity load forecasting using a hybrid model

(2018) Jinliang Zhang et al.   ENERGY

A regional hybrid GOA-SVM model based on similar day approach for short-term load forecasting in Assam, India

(2018) Mayur Barman et al.   ENERGY

Forecasting neural network model with novel CID learning rate and EEMD algorithms on energy market

(2018) Zhongpei Cen et al.   NEUROCOMPUTING

A new hybrid model to predict the electrical load in five states of Australia

(2018) Jinran Wu et al.   ENERGY

A study of appliance ownership and electricity consumption determinants in urban Ghanaian households

(2018) Marriette Sakah et al.   Sustainable Cities and Society

Day-ahead natural gas demand forecasting based on the combination of wavelet transform and ANFIS/genetic algorithm/neural network model

(2017) Ioannis P. Panapakidis et al.   ENERGY

Multi-objective particle swarm optimization-based adaptive neuro-fuzzy inference system for benzene monitoring

(2017) Husanbir Singh Pannu et al.   NEURAL COMPUTING & APPLICATIONS

Short-term forecasting of electricity demand for the residential sector using weather and social variables

(2017) Hyojoo Son et al.   RESOURCES CONSERVATION AND RECYCLING

Research on oil and gas pipeline defect recognition based on IPSO for RBF neural network

(2017) He Zhang et al.   Sustainable Computing-Informatics & Systems

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 China's primary energy consumption forecasting by using ARIMA (the autoregressive integrated moving average) model and GM(1,1) model

(2016) Chaoqing Yuan et al.   ENERGY

Two combined forecasting models based on singular spectrum analysis and intelligent optimized algorithm for short-term wind speed

(2016) Ping Jiang et al.   NEURAL COMPUTING & APPLICATIONS

Hybrid ANFIS–PSO approach for predicting optimum parameters of a protective spur dike

(2015) Hossein Basser et al.   APPLIED SOFT COMPUTING

The long-term forecast of Pakistan's electricity supply and demand: An application of long range energy alternatives planning

(2015) Usama Perwez et al.   ENERGY

Back Analysis of the Permeability Coefficient of a High Core Rockfill Dam Based on a RBF Neural Network Optimized Using the PSO Algorithm

(2015) Shichun Chi et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Optimal PID Controller Design Based on PSO-RBFNN for Wind Turbine Systems

(2014) Jau-Woei Perng et al.   Energies

A Four-Stage Hybrid Model for Hydrological Time Series Forecasting

(2014) Chongli Di et al.   PLoS One

Improved Wavelet Modeling Framework for Hydrologic Time Series Forecasting

(2013) Yan-Fang Sang   WATER RESOURCES MANAGEMENT

Modelling aggregate domestic electricity demand in Ghana: An autoregressive distributed lag bounds cointegration approach

(2012) Philip Kofi Adom et al.   ENERGY POLICY

Forecast Modeling of Monthly Runoff with Adaptive Neural Fuzzy Inference System and Wavelet Analysis

(2011) Li Ren et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks

(2011) Yu Wei et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A hybrid PSO–ANFIS approach for short-term wind power prediction in Portugal

(2010) H.M.I. Pousinho et al.   ENERGY CONVERSION AND MANAGEMENT

Future demand scenarios of Bangladesh power sector

(2010) Md. Alam Hossain Mondal et al.   ENERGY POLICY

EEG signal classification using PCA, ICA, LDA and support vector machines

(2010) Abdulhamit Subasi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Application of a particle swarm optimization algorithm for determining optimum well location and type

(2009) Jérôme E. Onwunalu et al.   COMPUTATIONAL GEOSCIENCES

Time series prediction using RBF neural networks with a nonlinear time-varying evolution PSO algorithm

(2009) Cheng-Ming Lee et al.   NEUROCOMPUTING

Prediction of energy demands using neural network with model identification by global optimization

(2008) Ryohei Yokoyama et al.   ENERGY CONVERSION AND MANAGEMENT