An advanced weighted system based on swarm intelligence optimization for wind speed prediction

Impacts of haze pollution on China's tourism industry: A system of economic loss analysis

(2021) Yan Hao et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Point and interval prediction for non-ferrous metals based on a hybrid prediction framework

(2021) Jianzhou Wang et al.   RESOURCES POLICY

Decomposition-selection-ensemble forecasting system for energy futures price forecasting based on multi-objective version of chaos game optimization algorithm

(2021) Ping Jiang et al.   RESOURCES POLICY

Design of a combined wind speed forecasting system based on decomposition-ensemble and multi-objective optimization approach

(2020) Liangqing Luo et al.   APPLIED MATHEMATICAL MODELLING

A new combined model based on multi-objective salp swarm optimization for wind speed forecasting

(2020) Zishu Cheng et al.   APPLIED SOFT COMPUTING

Inbound tourism demand forecasting framework based on fuzzy time series and advanced optimization algorithm

(2020) Ping Jiang et al.   APPLIED SOFT COMPUTING

Wind speed prediction based on singular spectrum analysis and neural network structural learning

(2020) Xiwei Mi et al.   ENERGY CONVERSION AND MANAGEMENT

Prediction of offshore wind farm power using a novel two-stage model combining kernel-based nonlinear extension of the Arps decline model with a multi-objective grey wolf optimizer

(2020) Hongfang Lu et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A combined forecasting system based on modified multi-objective optimization and sub-model selection strategy for short-term wind speed

(2020) Qingguo Zhou et al.   APPLIED SOFT COMPUTING

A novel hybrid model based on combined preprocessing method and advanced optimization algorithm for power load forecasting

(2020) Ying Nie et al.   APPLIED SOFT COMPUTING

A novel interval forecasting system for uncertainty modeling based on multi-input multi-output theory: A case study on modern wind stations

(2020) Tongxiang Liu et al.   RENEWABLE ENERGY

A combined forecasting system based on statistical method, artificial neural networks, and deep learning methods for short-term wind speed forecasting

(2020) Ping Jiang et al.   ENERGY

A Novel System for Wind Speed Forecasting Based on Multi-Objective Optimization and Echo State Network

(2019) Jianzhou Wang et al.   Sustainability

Incorporation of the Rotor-Equivalent Wind Speed into the Weather Research and Forecasting Model’s Wind Farm Parameterization

(2019) Stephanie Redfern et al.   MONTHLY WEATHER REVIEW

A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting

(2019) Yan Hao et al.   APPLIED ENERGY

A combined model based on data preprocessing strategy and multi-objective optimization algorithm for short-term wind speed forecasting

(2019) Xinsong Niu et al.   APPLIED ENERGY

A novel non-linear combination system for short-term wind speed forecast

(2019) Jianzhou Wang et al.   RENEWABLE 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

A new prediction method based on VMD-PRBF-ARMA-E model considering wind speed characteristic

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

A Novel Framework of Reservoir Computing for Deterministic and Probabilistic Wind Power Forecasting

(2019) Jianzhou Wang et al.   IEEE Transactions on Sustainable Energy

A novel combined model based on advanced optimization algorithm for short-term wind speed forecasting

(2018) Jingjing Song et al.   APPLIED ENERGY

Wind speed forecasting using nonlinear-learning ensemble of deep learning time series prediction and extremal optimization

(2018) Jie Chen et al.   ENERGY CONVERSION AND MANAGEMENT

Correlation-Constrained and Sparsity-Controlled Vector Autoregressive Model for Spatio-Temporal Wind Power Forecasting

(2018) Yongning Zhao et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Research and application of a combined model based on variable weight for short term wind speed forecasting

(2018) Hongmin Li et al.   RENEWABLE ENERGY

Multi-step-ahead wind speed forecasting based on optimal feature selection and a modified bat algorithm with the cognition strategy

(2018) Tong Niu et al.   RENEWABLE ENERGY

An experimental investigation of three new hybrid wind speed forecasting models using multi-decomposing strategy and ELM algorithm

(2018) Hui Liu et al.   RENEWABLE ENERGY

A novel wind speed forecasting system based on hybrid data preprocessing and multi-objective optimization

(2018) Chengshi Tian et al.   APPLIED 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

A hybrid forecasting system based on a dual decomposition strategy and multi-objective optimization for electricity price forecasting

(2018) Wendong Yang et al.   APPLIED ENERGY

Short-term wind speed forecasting using a hybrid model

(2017) Ping Jiang et al.   ENERGY

A combined model based on CEEMDAN and modified flower pollination algorithm for wind speed forecasting

(2017) Wenyu Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

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

Deep belief network based deterministic and probabilistic wind speed forecasting approach

(2016) H.Z. Wang et al.   APPLIED ENERGY

One day ahead wind speed forecasting: A resampling-based approach

(2016) Weigang Zhao et al.   APPLIED ENERGY

Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization

(2016) Seyedali Mirjalili et al.   EXPERT SYSTEMS WITH APPLICATIONS

Improved week-ahead predictions of wind speed using simple linear models with wavelet decomposition

(2016) Dennis C. Kiplangat et al.   RENEWABLE ENERGY

A Hybrid Multi-Step Rolling Forecasting Model Based on SSA and Simulated Annealing—Adaptive Particle Swarm Optimization for Wind Speed

(2016) Pei Du et al.   Sustainability

Wind power forecast using wavelet neural network trained by improved Clonal selection algorithm

(2015) Hamed Chitsaz et al.   ENERGY CONVERSION AND MANAGEMENT

Forecasting China’s energy demand and self-sufficiency rate by grey forecasting model and Markov model

(2015) Nai-ming Xie et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Wind speed prediction using the hybrid model of wavelet decomposition and artificial bee colony algorithm-based relevance vector machine

(2015) Sheng-wei Fei et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Grey Wolf Optimizer

(2014) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

A Rolling Grey Model Optimized by Particle Swarm Optimization in Economic Prediction

(2014) Li Liu et al.   COMPUTATIONAL INTELLIGENCE

Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting

(2013) Chao Ren et al.   KNOWLEDGE-BASED SYSTEMS

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

(2012) Yuanyuan Wang et al.   ENERGY POLICY

A preliminary study of assimilating numerical weather prediction data into computational fluid dynamics models for wind prediction

(2011) Frank J. Zajaczkowski et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

ARMA based approaches for forecasting the tuple of wind speed and direction

(2010) Ergin Erdem et al.   APPLIED ENERGY

A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization

(2008) Salvador García et al.   JOURNAL OF HEURISTICS

Day-ahead wind speed forecasting using f-ARIMA models

(2008) Rajesh G. Kavasseri et al.   RENEWABLE ENERGY