A Novel Hybrid Interval Prediction Approach Based on Modified Lower Upper Bound Estimation in Combination with Multi-Objective Salp Swarm Algorithm for Short-Term Load Forecasting

An analysis-forecast system for uncertainty modeling of wind speed: A case study of large-scale wind farms

(2018) Jianzhou Wang et al.   APPLIED ENERGY

A novel decomposition‐ensemble model for forecasting short‐term load‐time series with multiple seasonal patterns

(2018) Xiaobo Zhang et al.   APPLIED SOFT COMPUTING

A novel hybrid forecasting system of wind speed based on a newly developed multi-objective sine cosine algorithm

(2018) Jianzhou Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Multi-step ahead forecasting in electrical power system using a hybrid forecasting system

(2018) Pei Du et al.   RENEWABLE ENERGY

Research and application of a novel hybrid forecasting system based on multi-objective optimization for wind speed forecasting

(2017) Pei Du et al.   ENERGY CONVERSION AND MANAGEMENT

Multi-objective ant lion optimizer: a multi-objective optimization algorithm for solving engineering problems

(2016) Seyedali Mirjalili et al.   APPLIED INTELLIGENCE

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

(2016) Guo-Feng Fan et al.   NEUROCOMPUTING

A hybrid short-term load forecasting with a new data preprocessing framework

(2015) M. Ghayekhloo et al.   ELECTRIC POWER SYSTEMS RESEARCH

Prediction Interval Estimation of Electricity Prices Using PSO-Tuned Support Vector Machines

(2015) Nitin Anand Shrivastava et al.   IEEE Transactions on Industrial Informatics

Forecasting wind speed using empirical mode decomposition and Elman neural network

(2014) Jujie Wang et al.   APPLIED SOFT COMPUTING

Uncertainty handling using neural network-based prediction intervals for electrical load forecasting

(2014) Hao Quan et al.   ENERGY

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

(2012) Jianjun Wang et al.   APPLIED ENERGY

Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction

(2012) Rohitash Chandra et al.   NEUROCOMPUTING

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

(2011) Wei-Chiang Hong   ENERGY

Short-Term Load Forecasting Based on a Semi-Parametric Additive Model

(2011) Shu Fan et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A novel method of short-term load forecasting based on multiwavelet transform and multiple neural networks

(2011) Zhigang Liu et al.   NEURAL COMPUTING & APPLICATIONS

Elman neural networks for characterizing voids in welded strips: a study

(2011) Matteo Cacciola et al.   NEURAL COMPUTING & APPLICATIONS

Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals

(2010) A Khosravi et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Construction of Optimal Prediction Intervals for Load Forecasting Problems

(2010) Abbas Khosravi et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A No Free Lunch theorem for multi-objective optimization

(2010) Travis C. Service   INFORMATION PROCESSING LETTERS

Long term electric load forecasting based on particle swarm optimization

(2009) M.R. AlRashidi et al.   APPLIED ENERGY

Bayesian committee of neural networks to predict travel times with confidence intervals

(2009) C.P.IJ. van Hinsbergen et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Evolutionary multi-objective optimization: some current research trends and topics that remain to be explored

(2009) Carlos A. Coello Coello   Frontiers of Computer Science in China