Interpretable wind speed prediction with multivariate time series and temporal fusion transformers

Deep learning combined wind speed forecasting with hybrid time series decomposition and multi-objective parameter optimization

(2022) Sheng-Xiang Lv et al.   APPLIED ENERGY

A deep learning-based evolutionary model for short-term wind speed forecasting: A case study of the Lillgrund offshore wind farm

(2021) Mehdi Neshat et al.   ENERGY CONVERSION AND MANAGEMENT

Forecasting the U.S. oil markets based on social media information during the COVID-19 pandemic

(2021) Binrong Wu et al.   ENERGY

Wind turbine power output prediction using a new hybrid neuro-evolutionary method

(2021) Mehdi Neshat et al.   ENERGY

Short-term offshore wind speed forecast by seasonal ARIMA - A comparison against GRU and LSTM

(2021) Xiaolei Liu et al.   ENERGY

Hybrid wind speed forecasting model based on multivariate data secondary decomposition approach and deep learning algorithm with attention mechanism

(2021) Shuai Zhang et al.   RENEWABLE ENERGY

A review of wind speed and wind power forecasting with deep neural networks

(2021) Yun Wang et al.   APPLIED ENERGY

Multi-step wind speed forecasting and Hurst analysis using novel hybrid secondary decomposition approach

(2021) Cem Emeksiz et al.   ENERGY

Short-term wind speed forecasting system based on multivariate time series and multi-objective optimization

(2021) Zhihao Shang et al.   ENERGY

Temporal Fusion Transformers for interpretable multi-horizon time series forecasting

(2021) Bryan Lim et al.   INTERNATIONAL JOURNAL OF FORECASTING

Usage of correlation analysis and hypothesis test in optimizing the gated recurrent unit network for wind speed forecasting

(2021) Jie Wu et al.   ENERGY

A composite framework coupling multiple feature selection, compound prediction models and novel hybrid swarm optimizer-based synchronization optimization strategy for multi-step ahead short-term wind speed forecasting

(2020) Wenlong Fu et al.   ENERGY CONVERSION AND MANAGEMENT

Forecasting energy consumption and wind power generation using deep echo state network

(2020) Huanling Hu et al.   RENEWABLE ENERGY

Short-term wind speed time series forecasting based on a hybrid method with multiple objective optimization for non-convex target

(2020) Yunxuan Dong et al.   ENERGY

Short-term wind speed predicting framework based on EEMD-GA-LSTM method under large scaled wind history

(2020) Yaoran Chen et al.   ENERGY CONVERSION AND MANAGEMENT

Deterministic and probabilistic wind speed forecasting with de-noising-reconstruction strategy and quantile regression based algorithm

(2020) Jianming Hu et al.   RENEWABLE ENERGY

A self-adaptive kernel extreme learning machine for short-term wind speed forecasting

(2020) Liye Xiao 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

RSAM: Robust Self-Attention Based Multi-Horizon Model for Solar Irradiance Forecasting

(2020) Swati Sharda et al.   IEEE Transactions on Sustainable Energy

Sequence transfer correction algorithm for numerical weather prediction wind speed and its application in a wind power forecasting system

(2019) Han Wang et al.   APPLIED ENERGY

Multifactor spatio-temporal correlation model based on a combination of convolutional neural network and long short-term memory neural network for wind speed forecasting

(2019) Yong Chen et al.   ENERGY CONVERSION AND MANAGEMENT

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

(2019) Jianzhou Wang et al.   RENEWABLE ENERGY

Data processing strategies in wind energy forecasting models and applications: A comprehensive review

(2019) Hui Liu et al.   APPLIED ENERGY

Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network

(2019) Yishun Liu et al.   KNOWLEDGE-BASED SYSTEMS

Coordinated wind-thermal-energy storage offering strategy in energy and spinning reserve markets using a multi-stage model

(2019) Hooman Khaloie et al.   APPLIED ENERGY

Multi-objective data-ensemble wind speed forecasting model with stacked sparse autoencoder and adaptive decomposition-based error correction

(2019) Hui Liu et al.   APPLIED ENERGY

Multiobjective big data optimization based on a hybrid salp swarm algorithm and differential evolution

(2019) Mohamed Abd Elaziz et al.   APPLIED MATHEMATICAL MODELLING

An adaptive hybrid model for short term wind speed forecasting

(2019) Jinliang Zhang et al.   ENERGY

A Broad Learning System with Ensemble and Classification Methods for Multi-step-ahead Wind Speed Prediction

(2019) Lingzi Zhu et al.   Cognitive Computation

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

(2018) Jingjing Song et al.   APPLIED ENERGY

Short-term wind speed forecasting using variational mode decomposition and support vector regression

(2018) Xiaodan Wang et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Wind speed forecasting approach based on Singular Spectrum Analysis and Adaptive Neuro Fuzzy Inference System

(2018) Sinvaldo Rodrigues Moreno et al.   RENEWABLE ENERGY

Improved near surface wind speed predictions using Gaussian process regression combined with numerical weather predictions and observed meteorological data

(2018) Victoria Hoolohan et al.   RENEWABLE ENERGY

A nonlinear hybrid wind speed forecasting model using LSTM network, hysteretic ELM and Differential Evolution algorithm

(2018) Ya-Lan Hu et al.   ENERGY CONVERSION AND MANAGEMENT

Multi-step wind speed forecasting based on a hybrid decomposition technique and an improved back-propagation neural network

(2018) Zongxi Qu et al.   RENEWABLE ENERGY

A compound structure of ELM based on feature selection and parameter optimization using hybrid backtracking search algorithm for wind speed forecasting

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

Genetic algorithm optimized double-reservoir echo state network for multi-regime time series prediction

(2017) Shisheng Zhong et al.   NEUROCOMPUTING

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

(2016) Weigang Zhao et al.   APPLIED ENERGY

Exploiting sparsity of interconnections in spatio-temporal wind speed forecasting using Wavelet Transform

(2016) Akin Tascikaraoglu et al.   APPLIED ENERGY

ARIMA-Based Frequency-Decomposed Modeling of Wind Speed Time Series

(2016) Kalid Yunus et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Day-Ahead Prediction of Wind Speed with Deep Feature Learning

(2016) Jie Wan et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

Recursive wind speed forecasting based on Hammerstein Auto-Regressive model

(2015) Othman Ait Maatallah et al.   APPLIED ENERGY

Variational Mode Decomposition

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

Current status and future advances for wind speed and power forecasting

(2014) Jaesung Jung et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Forecasting models for wind speed using wavelet, wavelet packet, time series and Artificial Neural Networks

(2013) Hui Liu et al.   APPLIED ENERGY

Wind speed and wind energy forecast through Kalman filtering of Numerical Weather Prediction model output

(2012) Federico Cassola et al.   APPLIED ENERGY

Evaluation of hybrid forecasting approaches for wind speed and power generation time series

(2012) Jing Shi et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Day-ahead wind speed forecasting using f-ARIMA models

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