Multi-space collaboration framework based optimal model selection for power load forecasting

Quantum inspired Particle Swarm Optimization with guided exploration for function optimization

(2021) R.K. Agrawal et al.   APPLIED SOFT COMPUTING

Robust multi-objective optimal design of islanded hybrid system with renewable and diesel sources/stationary and mobile energy storage systems

(2021) Zaoli Yang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Ensemble averaging based assessment of spatiotemporal variations in ambient PM2.5 concentrations over Delhi, India, during 2010–2016

(2020) Siddhartha Mandal et al.   ATMOSPHERIC ENVIRONMENT

Multiple scale self-adaptive cooperation mutation strategy-based particle swarm optimization

(2020) Xinmin Tao et al.   APPLIED SOFT COMPUTING

Modeling and performance evaluation of wind turbine based on ant colony optimization-extreme learning machine

(2020) Xiaoqiang Wen   APPLIED SOFT COMPUTING

Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction

(2020) Anurag Malik et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

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

A machine-learning-based approach to predict residential annual space heating and cooling loads considering occupant behaviour

(2020) Xinyi Li et al.   ENERGY

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

(2019) Wei-Chiang Hong et al.   Energies

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

(2019) Youlong Yang et al.   APPLIED ENERGY

Short Term Load Forecasting Model Based on Kernel-Support Vector Regression with Social Spider Optimization Algorithm

(2019) Alireza Sina et al.   Journal of Electrical Engineering & Technology

Parameters identification of PV solar cells and modules using flexible particle swarm optimization algorithm

(2019) S. Mohammadreza Ebrahimi et al.   ENERGY

Influential factor analysis of China's unsustainable electric power system: A case study of Chengdu Electric Bureau

(2019) Jing Xu et al.   ENERGY POLICY

Short-Term Power Load Forecasting Based on Elman Neural Network with Particle Swarm Optimization

(2019) Kun Xie et al.   NEUROCOMPUTING

A robust reliability prediction method using Weighted Least Square Support Vector Machine equipped with Chaos Modified Particle Swarm Optimization and Online Correcting Strategy

(2019) Xinggao Liu et al.   APPLIED SOFT COMPUTING

Joint bagged-boosted artificial neural networks: Using ensemble machine learning to improve short-term electricity load forecasting

(2019) A.S. Khwaja et al.   ELECTRIC POWER SYSTEMS RESEARCH

Real-time pricing for smart grid with distributed energy and storage: A noncooperative game method considering spatially and temporally coupled constraints

(2019) Li Tao et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

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

(2018) Chuan Li et al.   ENERGY

Short term load forecasting based on feature extraction and improved general regression neural network model

(2018) Yi Liang et al.   ENERGY

A novel framework for wind speed prediction based on recurrent neural networks and support vector machine

(2018) Chuanjin Yu et al.   ENERGY CONVERSION AND MANAGEMENT

Day-ahead building-level load forecasts using deep learning vs. traditional time-series techniques

(2018) Mengmeng Cai et al.   APPLIED ENERGY

Next generation prediction model for daily solar radiation on horizontal surface using a hybrid neural network and simulated annealing method

(2017) Seyyed Mohammad Mousavi et al.   ENERGY CONVERSION AND MANAGEMENT

A hybrid particle swarm optimization and support vector regression model for modelling permeability prediction of hydrocarbon reservoir

(2017) Kabiru. O. Akande et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

A multiple time series-based recurrent neural network for short-term load forecasting

(2017) Bing Zhang et al.   SOFT COMPUTING

A new prediction model of battery and wind-solar output in hybrid power system

(2017) Farzaneh Mirzapour et al.   Journal of Ambient Intelligence and Humanized Computing

System reliability prediction by support vector regression with analytic selection and genetic algorithm parameters selection

(2015) Wei Zhao et al.   APPLIED SOFT COMPUTING

An annual load forecasting model based on support vector regression with differential evolution algorithm

(2012) Jianjun Wang et al.   APPLIED ENERGY

Electric load forecasting by seasonal recurrent SVR (support vector regression) with chaotic artificial bee colony algorithm

(2011) Wei-Chiang Hong   ENERGY