Learning based short term wind speed forecasting models for smart grid applications: An extensive review and case study

An Investigation on the Impacts of Low Probability and High Intensity Events on Wind Power Generator’s Market Participation

(2022) Abdolaziz Mallahi et al.   IEEE Access

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

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

Short-term wind power forecasting based on Attention Mechanism and Deep Learning

(2022) Bangru Xiong et al.   ELECTRIC POWER SYSTEMS RESEARCH

Hybrid wind speed prediction framework using data pre-processing strategy based autoencoder network

(2022) Vishalteja Kosana et al.   ELECTRIC POWER SYSTEMS RESEARCH

A novel dynamic selection approach using on-policy SARSA algorithm for accurate wind speed prediction

(2022) Vishalteja Kosana et al.   ELECTRIC POWER SYSTEMS RESEARCH

A wind power forecasting method based on optimized decomposition prediction and error correction

(2022) Jun Li et al.   ELECTRIC POWER SYSTEMS RESEARCH

Trading data for wind power forecasting: A regression market with lasso regularization

(2022) Liyang Han et al.   ELECTRIC POWER SYSTEMS RESEARCH

Prediction method of wind farm power generation capacity based on feature clustering and correlation analysis

(2022) Yajun Wang et al.   ELECTRIC POWER SYSTEMS RESEARCH

Hybrid wind speed forecasting using ICEEMDAN and transformer model with novel loss function

(2022) Bala Saibabu Bommidi et al.   ENERGY

Innovative ensemble system based on mixed frequency modeling for wind speed point and interval forecasting

(2022) Wendong Yang et al.   INFORMATION SCIENCES

Ultra‐short‐term multi‐step wind power forecasting based on CNN‐LSTM

(2021) Qianyu Wu et al.   IET Renewable Power Generation

Machine intelligent and deep learning techniques for large training data in short‐term wind speed and ramp event forecasting

(2021) Harsh S. Dhiman et al.   International Transactions on Electrical Energy Systems

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

A holistic review on energy forecasting using big data and deep learning models

(2021) Jayanthi Devaraj et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Short-Term Forecasting and Uncertainty Analysis of Wind Power

(2021) Gu Bo et al.   JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME

Using gradient boosting regression to improve ambient solar wind model predictions

(2021) R. L. Bailey et al.   SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS

2-D regional short-term wind speed forecast based on CNN-LSTM deep learning model

(2021) Yaoran Chen et al.   ENERGY CONVERSION AND MANAGEMENT

A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids

(2021) Sheraz Aslam et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Intraday wind power forecasting employing feedback mechanism

(2021) Akshita Gupta et al.   ELECTRIC POWER SYSTEMS RESEARCH

Day-ahead hourly photovoltaic power forecasting using attention-based CNN-LSTM neural network embedded with multiple relevant and target variables prediction pattern

(2021) Jiaqi Qu et al.   ENERGY

Short-term wind speed forecasting using deep reinforcement learning with improved multiple error correction approach

(2021) Rui Yang et al.   ENERGY

A review of very short-term wind and solar power forecasting

(2021) R. Tawn et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Deep learning methods and applications for electrical power systems: A comprehensive review

(2020) Asiye K. Ozcanli et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

A Critical Review of Wind Power Forecasting Methods—Past, Present and Future

(2020) Shahram Hanifi et al.   Energies

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

(2020) Hui Liu et al.   ENERGY

An efficient online sequential extreme learning machine model based on feature selection and parameter optimization using cuckoo search algorithm for multi-step wind speed forecasting

(2020) Rashmi P. Shetty et al.   SOFT COMPUTING

Recalibration of recurrent neural networks for short-term wind power forecasting

(2020) Jean-François Toubeau et al.   ELECTRIC POWER SYSTEMS RESEARCH

Advanced Deep Learning Approach for Probabilistic Wind Speed Forecasting

(2020) Mousa Afrasiabi et al.   IEEE Transactions on Industrial Informatics

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

(2020) Adam Kisvari et al.   RENEWABLE ENERGY

Short-term wind power forecasting by stacked recurrent neural networks with parametric sine activation function

(2020) Xin Liu et al.   ELECTRIC POWER SYSTEMS RESEARCH

Temporal convolutional networks interval prediction model for wind speed forecasting

(2020) Zhenhao Gan et al.   ELECTRIC POWER SYSTEMS RESEARCH

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

Short-term wind speed forecasting using recurrent neural networks with error correction

(2020) Jikai Duan et al.   ENERGY

Current status of hybrid structures in wind forecasting

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

Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting

(2019) Aasim et al.   RENEWABLE ENERGY

Wind energy potential analysis using Sentinel-1 satellite: A review and a case study on Mediterranean islands

(2019) M. Majidi Nezhad et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

One dimensional convolutional neural network architectures for wind prediction

(2019) Shubhi Harbola et al.   ENERGY CONVERSION AND MANAGEMENT

Deterministic wind energy forecasting: A review of intelligent predictors and auxiliary methods

(2019) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

A review of applications of artificial intelligent algorithms in wind farms

(2019) Yirui Wang et al.   ARTIFICIAL INTELLIGENCE REVIEW

Wind power forecasting based on daily wind speed data using machine learning algorithms

(2019) Halil Demolli et al.   ENERGY CONVERSION AND MANAGEMENT

A review of deep learning for renewable energy forecasting

(2019) Huaizhi Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Very short-term wind power density forecasting through artificial neural networks for microgrid control

(2019) Fermín Rodríguez et al.   RENEWABLE ENERGY

Gaussian Process Regression for numerical wind speed prediction enhancement

(2019) Haoshu Cai et al.   RENEWABLE ENERGY

Detection of illegal consumers using pattern classification approach combined with Levenberg-Marquardt method in smart grid

(2018) Ali Akbar Ghasemi et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees

(2018) Muhammad Waseem Ahmad et al.   JOURNAL OF CLEANER PRODUCTION

A review on the selected applications of forecasting models in renewable power systems

(2018) Adil Ahmed et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Ensemble Machine Learning-Based Wind Forecasting to Combine NWP Output With Data From Weather Station

(2018) Pengwei Du   IEEE Transactions on Sustainable 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

Energy Storage Sizing Taking Into Account Forecast Uncertainties and Receding Horizon Operation

(2017) Kyri Baker et al.   IEEE Transactions on Sustainable Energy

Understanding differential evolution: A Poisson law derived from population interaction network

(2017) Shangce Gao et al.   Journal of Computational Science

Wind Speed for Load Forecasting Models

(2017) Jingrui Xie et al.   Sustainability

The discovery of population interaction with a power law distribution in brain storm optimization

(2017) Yirui Wang et al.   Memetic Computing

Wind Speed Prediction Using a Univariate ARIMA Model and a Multivariate NARX Model

(2016) Erasmo Cadenas et al.   Energies

Wind speed forecasting based on wavelet packet decomposition and artificial neural networks trained by crisscross optimization algorithm

(2016) Anbo Meng et al.   ENERGY CONVERSION AND MANAGEMENT

Current status of wind energy forecasting and a hybrid method for hourly predictions

(2016) Inci Okumus et al.   ENERGY CONVERSION AND MANAGEMENT

Evolutionary Algorithms for Dynamic Economic Dispatch Problems

(2016) M. F. Zaman et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Wind speed and solar irradiance forecasting techniques for enhanced renewable energy integration with the grid: a review

(2016) Edward Baleke Ssekulima et al.   IET Renewable Power Generation

A new approach to solve Economic Dispatch problem using a Hybrid ACO–ABC–HS optimization algorithm

(2016) Tanuj Sen et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Time series wind power forecasting based on variant Gaussian Process and TLBO

(2016) Juan Yan et al.   NEUROCOMPUTING

Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method

(2016) Shouxiang Wang et al.   RENEWABLE ENERGY

Machine learning for solar irradiance forecasting of photovoltaic system

(2016) Jiaming Li et al.   RENEWABLE ENERGY

Dynamic Pricing and Energy Consumption Scheduling With Reinforcement Learning

(2016) Byung-Gook Kim et al.   IEEE Transactions on Smart Grid

Quantifying the Economic and Grid Reliability Impacts of Improved Wind Power Forecasting

(2016) Qin Wang et al.   IEEE Transactions on Sustainable Energy

A hybrid genetic algorithm and bacterial foraging approach for dynamic economic dispatch problem

(2015) Ehab E. Elattar   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Forecasting electricity consumption: A comparison of regression analysis, neural networks and least squares support vector machines

(2015) Fazil Kaytez et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Kernel ridge regression for general noise model with its application

(2015) Shiguang Zhang et al.   NEUROCOMPUTING

Wind speed prediction using reduced support vector machines with feature selection

(2015) Xiaobing Kong et al.   NEUROCOMPUTING

Short-term wind power forecasting using adaptive neuro-fuzzy inference system combined with evolutionary particle swarm optimization, wavelet transform and mutual information

(2015) G.J. Osório et al.   RENEWABLE ENERGY

Incorporating spatial correlation into stochastic generation of solar radiation data

(2015) Tokhir Gafurov et al.   SOLAR ENERGY

On the spatial decorrelation of stochastic solar resource variability at long timescales

(2015) Marc J.R. Perez et al.   SOLAR ENERGY

Multi-dimensional scenario forecast for generation of multiple wind farms

(2015) Ming YANG et al.   Journal of Modern Power Systems and Clean Energy

Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques

(2014) Cheng Fan et al.   APPLIED ENERGY

Probabilistic wind speed forecasting using Bayesian model averaging with truncated normal components

(2014) Sándor Baran   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Current status and future advances for wind speed and power forecasting

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

Long-Term Wind Speed Forecasting and General Pattern Recognition Using Neural Networks

(2014) Hanieh Borhan Azad et al.   IEEE Transactions on Sustainable Energy

Uniform consistency of NN regressors for functional variables

(2013) Nadia L. Kudraszow et al.   STATISTICS & PROBABILITY LETTERS

Kernel ridge regression with active learning for wind speed prediction

(2012) Fouzi Douak et al.   APPLIED ENERGY

A Method for Short-Term Wind Power Prediction With Multiple Observation Points

(2012) Muhammad Khalid et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Bayesian statistical analysis applied to solar radiation modelling

(2012) Philippe Lauret et al.   RENEWABLE ENERGY

Demand Dispatch and Probabilistic Wind Power Forecasting in Unit Commitment and Economic Dispatch: A Case Study of Illinois

(2012) Audun Botterud et al.   IEEE Transactions on Sustainable Energy

Hybrid intelligent approach for short-term wind power forecasting in Portugal

(2011) J.P.S. Catalão et al.   IET Renewable Power Generation

Elastic Net Regression Modeling With the Orthant Normal Prior

(2011) Chris Hans   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

The wind energy (r)evolution: A short review of a long history

(2011) John K. Kaldellis et al.   RENEWABLE ENERGY

Current methods and advances in forecasting of wind power generation

(2011) Aoife M. Foley et al.   RENEWABLE ENERGY

Sizing of Energy Storage for Microgrids

(2011) S. X. Chen et al.   IEEE Transactions on Smart Grid

On comparing three artificial neural networks for wind speed forecasting

(2010) Gong Li et al.   APPLIED ENERGY

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

(2010) Ergin Erdem et al.   APPLIED ENERGY

Wind power distributions: A review of their applications

(2010) D. Villanueva et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A hybrid statistical method to predict wind speed and wind power

(2010) Hui Liu et al.   RENEWABLE ENERGY

Interpolation of missing wind data based on ANFIS

(2010) Zhiling Yang et al.   RENEWABLE ENERGY

Variable Importance Assessment in Regression: Linear Regression versus Random Forest

(2009) Ulrike Grömping   AMERICAN STATISTICIAN

Wind energy potential assessment in Naxos Island, Greece

(2009) Ioannis Fyrippis et al.   APPLIED ENERGY

Optimal Renewable Resources Mix for Distribution System Energy Loss Minimization

(2009) Y.M. Atwa et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Elastic-net regularization in learning theory

(2009) Christine De Mol et al.   JOURNAL OF COMPLEXITY

Ensemble Regression

(2009) David A. Unger et al.   MONTHLY WEATHER REVIEW

One Day Ahead Prediction of Wind Speed and Direction

(2008) T.H.M. El-Fouly et al.   IEEE TRANSACTIONS ON ENERGY CONVERSION

A review on the forecasting of wind speed and generated power

(2008) Ma Lei et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS