Ensemble wind speed forecasting with multi-objective Archimedes optimization algorithm and sub-model selection

Decomposition-based hybrid wind speed forecasting model using deep bidirectional LSTM networks

(2021) K.U. Jaseena et al.   ENERGY CONVERSION AND MANAGEMENT

Wind speed forecasting system based on gated recurrent units and convolutional spiking neural networks

(2021) Danxiang Wei et al.   APPLIED ENERGY

Design of a combined system based on two-stage data preprocessing and multi-objective optimization for wind speed prediction

(2021) Ying Wang et al.   ENERGY

Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm

(2021) Zhenkun Liu et al.   EXPERT SYSTEMS WITH APPLICATIONS

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 hybrid ensemble deep reinforcement learning model for wind speed short term forecasting

(2020) Hui Liu et al.   ENERGY

Multi-step wind speed forecasting based on hybrid multi-stage decomposition model and long short-term memory neural network

(2020) Sinvaldo Rodrigues Moreno et al.   ENERGY CONVERSION AND MANAGEMENT

A novel hybrid air quality early-warning system based on phase-space reconstruction and multi-objective optimization: A case study in China

(2020) Ying Wang et al.   JOURNAL OF CLEANER PRODUCTION

Effects of PM2.5 on health and economic loss: Evidence from Beijing-Tianjin-Hebei region of China

(2020) Jianzhou Wang et al.   JOURNAL OF CLEANER PRODUCTION

Evaluating a dendritic neuron model for wind speed forecasting

(2020) Zhenyu Song et al.   KNOWLEDGE-BASED SYSTEMS

Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems

(2020) Fatma A. Hashim et al.   APPLIED INTELLIGENCE

Analysis of the influence of international benchmark oil price on China’s real exchange rate forecasting

(2020) Jianzhou Wang et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Wind speed big data forecasting using time-variant multi-resolution ensemble model with clustering auto-encoder

(2020) Hui Liu et al.   APPLIED ENERGY

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

Wind power forecasting – A data-driven method along with gated recurrent neural network

(2020) Adam Kisvari et al.   RENEWABLE ENERGY

A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer

(2020) Aytaç Altan et al.   APPLIED SOFT COMPUTING

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 decomposition-ensemble learning framework for multi-step ahead wind energy forecasting

(2020) Ramon Gomes da Silva et al.   ENERGY

A developed hybrid forecasting system for energy consumption structure forecasting based on fuzzy time series and information granularity

(2020) Ping Jiang et al.   ENERGY

A self-organizing forecast of day-ahead wind speed: Selective ensemble strategy based on numerical weather predictions

(2020) Jing Zhao et al.   ENERGY

Current status of hybrid structures in wind forecasting

(2020) Mehrnaz Ahmadi et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Hybrid multi-stage decomposition with parametric model applied to wind speed forecasting in Brazilian Northeast

(2020) Sinvaldo Rodrigues Moreno et al.   RENEWABLE ENERGY

A hybrid neural network model for short-term wind speed forecasting based on decomposition, multi-learner ensemble, and adaptive multiple error corrections

(2020) Hui Liu et al.   RENEWABLE ENERGY

Multi-layer cooperative combined forecasting system for short-term wind speed forecasting

(2020) Jianzhou Wang et al.   Sustainable Energy Technologies and Assessments

A hesitant fuzzy wind speed forecasting system with novel defuzzification method and multi-objective optimization algorithm

(2020) Jianzhou Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

Hybrid wind energy forecasting and analysis system based on divide and conquer scheme: A case study in China

(2019) Wendong Yang et al.   JOURNAL OF CLEANER PRODUCTION

Hybrid forecasting system based on an optimal model selection strategy for different wind speed forecasting problems

(2019) Qingguo Zhou et al.   APPLIED ENERGY

Probabilistic spatiotemporal wind speed forecasting based on a variational Bayesian deep learning model

(2019) Yongqi Liu et al.   APPLIED ENERGY

A novel combined forecasting system for air pollutants concentration based on fuzzy theory and optimization of aggregation weight

(2019) Hufang Yang et al.   APPLIED SOFT COMPUTING

Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series

(2019) Matheus Henrique Dal Molin Ribeiro et al.   APPLIED SOFT COMPUTING

Variational mode decomposition denoising combined with improved Bhattacharyya distance

(2019) Jingyi Lu et al.   MEASUREMENT

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

(2018) Jingjing Song et al.   APPLIED ENERGY

Ensemble empirical mode decomposition based adaptive wavelet neural network method for wind speed prediction

(2018) Madasthu Santhosh et al.   ENERGY CONVERSION AND MANAGEMENT

Smart wind speed forecasting using EWT decomposition, GWO evolutionary optimization, RELM learning and IEWT reconstruction

(2018) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

A Nonparametric Bayesian Framework for Short-Term Wind Power Probabilistic Forecast

(2018) Wei Xie et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Multi-objective optimization of the environmental-economic dispatch with reinforcement learning based on non-dominated sorting genetic algorithm

(2018) Teodoro Cardoso Bora et al.   APPLIED THERMAL ENGINEERING

Novel analysis–forecast system based on multi-objective optimization for air quality index

(2018) Hongmin Li et al.   JOURNAL OF CLEANER PRODUCTION

Intelligent and robust prediction of short term wind power using genetic programming based ensemble of neural networks

(2017) Aneela Zameer et al.   ENERGY CONVERSION AND MANAGEMENT

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

(2017) Zongxi Qu et al.   ENERGY CONVERSION AND MANAGEMENT

Grey Wolf Optimizer

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

Variational Mode Decomposition

(2014) Konstantin Dragomiretskiy et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

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

(2010) Ergin Erdem et al.   APPLIED ENERGY

Day-ahead wind speed forecasting using f-ARIMA models

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