Forecasting short-term electricity load using hybrid support vector regression with grey catastrophe and random forest modeling

Assessment of aggregation strategies for machine-learning based short-term load forecasting

(2020) Cong Feng et al.   ELECTRIC POWER SYSTEMS RESEARCH

Forecast of electricity consumption in the Cameroonian residential sector by Grey and vector autoregressive models

(2020) Serge Guefano et al.   ENERGY

Short-term electricity load and price forecasting by a new optimal LSTM-NN based prediction algorithm

(2020) Gholamreza Memarzadeh et al.   ELECTRIC POWER SYSTEMS RESEARCH

Sequential grid approach based support vector regression for short-term electric load forecasting

(2019) Youlong Yang et al.   APPLIED ENERGY

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

Integrating linear and nonlinear forecasting techniques based on grey theory and artificial intelligence to forecast shale gas monthly production in Pennsylvania and Texas of the United States

(2019) Qiang Wang et al.   ENERGY

Recurrent inception convolution neural network for multi short-term load forecasting

(2019) Junhong Kim et al.   ENERGY AND BUILDINGS

Electric load forecasting by complete ensemble empirical mode decomposition adaptive noise and support vector regression with quantum-based dragonfly algorithm

(2019) Zichen Zhang et al.   NONLINEAR DYNAMICS

Combining random forests and physics-based models to forecast the electricity generated by ocean waves: A case study of the Mutriku wave farm

(2019) Paula Serras et al.   OCEAN ENGINEERING

A new multistage short-term wind power forecast model using decomposition and artificial intelligence methods

(2019) Hasan Hüseyin Çevik et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Short-term electrical load forecasting based on error correction using dynamic mode decomposition

(2019) Xiangyu Kong et al.   APPLIED ENERGY

Using a self-adaptive grey fractional weighted model to forecast Jiangsu’s electricity consumption in China

(2019) Xiaoyue Zhu et al.   ENERGY

Hybrid short-term forecasting of the electric demand of supply fans using machine learning

(2019) Jason Runge et al.   Journal of Building Engineering

Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia

(2018) Mohanad S. Al-Musaylh et al.   ADVANCED ENGINEERING INFORMATICS

Short term load forecasting based on phase space reconstruction algorithm and bi-square kernel regression model

(2018) Guo-Feng Fan et al.   APPLIED ENERGY

Smart grid load forecasting using online support vector regression

(2018) Petra Vrablecová et al.   COMPUTERS & ELECTRICAL ENGINEERING

A deep learning model for short-term power load and probability density forecasting

(2018) Zhifeng Guo et al.   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

Subsampled support vector regression ensemble for short term electric load forecasting

(2018) Yanying Li et al.   ENERGY

Improving forecasting accuracy of daily enterprise electricity consumption using a random forest based on ensemble empirical mode decomposition

(2018) Chuan Li et al.   ENERGY

Nonlinear autoregressive and random forest approaches to forecasting electricity load for utility energy management systems

(2018) Tanveer Ahmad et al.   Sustainable Cities and Society

Applications of Hybrid EMD with PSO and GA for an SVR-Based Load Forecasting Model

(2017) Guo-Feng Fan et al.   Energies

Electric load forecasting by the SVR model with differential empirical mode decomposition and auto regression

(2016) Guo-Feng Fan et al.   NEUROCOMPUTING

A hybrid EMD-SVR model for the short-term prediction of significant wave height

(2016) W.Y. Duan et al.   OCEAN ENGINEERING

A short-term load forecasting model of natural gas based on optimized genetic algorithm and improved BP neural network

(2014) Feng Yu et al.   APPLIED ENERGY

Short term electric load forecasting by wavelet transform and grey model improved by PSO (particle swarm optimization) algorithm

(2014) Saadat Bahrami et al.   ENERGY

Short-term load forecasting using SVR (support vector regression)-based radial basis function neural network with dual extended Kalman filter

(2012) Chia-Nan Ko et al.   ENERGY

Data Processing System (DPS) software with experimental design, statistical analysis and data mining developed for use in entomological research

(2012) Qi-Yi Tang et al.   Insect Science

Hybrid evolutionary algorithms in a SVR-based electric load forecasting model

(2009) Wei-Chiang Hong   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS