A novel hybrid load forecasting framework with intelligent feature engineering and optimization algorithm in smart grid

A novel composite electricity demand forecasting framework by data processing and optimized support vector machine

(2020) Ping Jiang et al.   APPLIED ENERGY

A Novel Accurate and Fast Converging Deep Learning-Based Model for Electrical Energy Consumption Forecasting in a Smart Grid

(2020) Ghulam Hafeez et al.   Energies

A support vector regression model hybridized with chaotic krill herd algorithm and empirical mode decomposition for regression task

(2020) Zichen Zhang et al.   NEUROCOMPUTING

A survey on hyperparameters optimization algorithms of forecasting models in smart grid

(2020) Rabiya Khalid et al.   Sustainable Cities and Society

A hybrid load forecasting model based on support vector machine with intelligent methods for feature selection and parameter optimization

(2020) Yeming Dai et al.   APPLIED ENERGY

Hybrid Empirical Mode Decomposition with Support Vector Regression Model for Short Term Load Forecasting

(2019) Wei-Chiang Hong et al.   Energies

Automatic time series analysis for electric load forecasting via support vector regression

(2019) Sebastián Maldonado et al.   APPLIED SOFT COMPUTING

Hybrid support vector machines with heuristic algorithms for prediction of daily diffuse solar radiation in air-polluted regions

(2019) Junliang Fan et al.   RENEWABLE ENERGY

Support vector machine with truncated pinball loss and its application in pattern recognition

(2018) Liming Yang et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Two stage forecast engine with feature selection technique and improved meta-heuristic algorithm for electricity load forecasting

(2018) Noradin Ghadimi et al.   ENERGY

An efficient deep model for day-ahead electricity load forecasting with stacked denoising auto-encoders

(2018) Chao Tong et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

A review and analysis of regression and machine learning models on commercial building electricity load forecasting

(2017) B. Yildiz et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Research and application of a hybrid model based on multi-objective optimization for electrical load forecasting

(2016) Liye Xiao et al.   APPLIED ENERGY

A combined model based on multiple seasonal patterns and modified firefly algorithm for electrical load forecasting

(2016) Liye Xiao et al.   APPLIED ENERGY

Support vector regression with fruit fly optimization algorithm for seasonal electricity consumption forecasting

(2016) Guohua Cao et al.   ENERGY

Time series forecasting for building energy consumption using weighted Support Vector Regression with differential evolution optimization technique

(2016) Fan Zhang et al.   ENERGY AND BUILDINGS

Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models

(2016) Jianzhou Wang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A combined model based on data pre-analysis and weight coefficients optimization for electrical load forecasting

(2015) Liye Xiao et al.   ENERGY

A hybrid model based on data preprocessing for electrical power forecasting

(2015) Liye Xiao et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

(2015) Muhammad Qamar Raza et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

New wind speed forecasting approaches using fast ensemble empirical model decomposition, genetic algorithm, Mind Evolutionary Algorithm and Artificial Neural Networks

(2015) Hui Liu et al.   RENEWABLE ENERGY

Improving photovoltaics grid integration through short time forecasting and self-consumption

(2014) D. Masa-Bote et al.   APPLIED ENERGY

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

A new hybrid Modified Firefly Algorithm and Support Vector Regression model for accurate Short Term Load Forecasting

(2014) Abdollah Kavousi-Fard et al.   EXPERT SYSTEMS WITH APPLICATIONS

Hybrid Improved Differential Evolution and Wavelet Neural Network with load forecasting problem of air conditioning

(2014) Gwo-Ching Liao   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Modified firefly algorithm using quaternion representation

(2013) Iztok Fister et al.   EXPERT SYSTEMS WITH APPLICATIONS

A comprehensive review of firefly algorithms

(2013) Iztok Fister et al.   Swarm and Evolutionary Computation

Application of residual modification approach in seasonal ARIMA for electricity demand forecasting: A case study of China

(2012) Yuanyuan Wang et al.   ENERGY POLICY

Solving multi-label text categorization problem using support vector machine approach with membership function

(2011) Tai-Yue Wang et al.   NEUROCOMPUTING

An enhanced radial basis function network for short-term electricity price forecasting

(2010) Whei-Min Lin et al.   APPLIED ENERGY

Power load forecasting using support vector machine and ant colony optimization

(2009) Dongxiao Niu et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

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

An expert system based on S-transform and neural network for automatic classification of power quality disturbances

(2008) Murat Uyar et al.   EXPERT SYSTEMS WITH APPLICATIONS