Exploiting Deep Learning for Wind Power Forecasting Based on Big Data Analytics

Electricity Price and Load Forecasting using Enhanced Convolutional Neural Network and Enhanced Support Vector Regression in Smart Grids

(2019) Maheen Zahid et al.   Electronics

Deep Long Short-Term Memory: A New Price and Load Forecasting Scheme for Big Data in Smart Cities

(2019) Sana Mujeeb et al.   Sustainability

ESAENARX and DE-RELM: Novel Schemes for Big Data Predictive Analytics of Electricity Load and Price

(2019) Sana Mujeeb et al.   Sustainable Cities and Society

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

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

Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms

(2018) Jesus Lago et al.   APPLIED ENERGY

Using Deep Learning to Predict Complex Systems: A Case Study in Wind Farm Generation

(2018) J. M. Torres et al.   COMPLEXITY

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

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

A survey on deep learning for big data

(2018) Qingchen Zhang et al.   Information Fusion

Deep learning to predict the generation of a wind farm

(2018) J. M. Torres et al.   Journal of Renewable and Sustainable Energy

A novel deep learning approach for short-term wind power forecasting based on infinite feature selection and recurrent neural network

(2018) Haijian Shao et al.   Journal of Renewable and Sustainable Energy

Analytical Iterative Multi-Step Interval Forecasts of Wind Generation based on TLGP

(2018) Juan Yan et al.   IEEE Transactions on Sustainable Energy

Wind Power Curve Modeling and Wind Power Forecasting with Inconsistent Data

(2018) Yun Wang et al.   IEEE Transactions on Sustainable Energy

Impacts of Wind Power Uncertainty on Grid Vulnerability to Cascading Overload Failures

(2018) Mir Hadi Athari et al.   IEEE Transactions on Sustainable Energy

A Multi-model Combination Approach for Probabilistic Wind Power Forecasting

(2018) You Lin et al.   IEEE Transactions on Sustainable Energy

The efficient market operation for wind energy trading based on the dynamic improved power forecasting

(2018) Shengjie Yang et al.   Journal of Renewable and Sustainable Energy

A Hybrid Approach to Short-Term Load Forecasting Aimed at Bad Data Detection in Secondary Substation Monitoring Equipment

(2018) Pedro Martín et al.   SENSORS

Ramp forecasting performance from improved short-term wind power forecasting over multiple spatial and temporal scales

(2017) Jie Zhang et al.   ENERGY

Variable Generation Power Forecasting as a Big Data Problem

(2017) Sue Ellen Haupt et al.   IEEE Transactions on Sustainable Energy

A Data Mining Approach Combining $K$ -Means Clustering With Bagging Neural Network for Short-Term Wind Power Forecasting

(2017) Wenbin Wu et al.   IEEE Internet of Things Journal

A novel hybrid algorithm for electricity price and load forecasting in smart grids with demand-side management

(2016) A. Ghasemi et al.   APPLIED ENERGY

A novel bidirectional mechanism based on time series model for wind power forecasting

(2016) Yongning Zhao et al.   APPLIED ENERGY

Integrating large scale wind power into the electricity grid in the Northeast of Brazil

(2016) Pieter de Jong et al.   ENERGY

A parametric whole life cost model for offshore wind farms

(2016) Mahmood Shafiee et al.   INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT

Big data driven smart energy management: From big data to big insights

(2016) Kaile Zhou et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

LASSO vector autoregression structures for very short-term wind power forecasting

(2016) Laura Cavalcante et al.   WIND ENERGY

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

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

Hybrid Probabilistic Wind Power Forecasting Using Temporally Local Gaussian Process

(2016) Juan Yan et al.   IEEE Transactions on Sustainable Energy

Energy management strategy for a renewable-based residential microgrid with generation and demand forecasting

(2015) Julio Pascual et al.   APPLIED ENERGY

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

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

An Advanced Approach for Construction of Optimal Wind Power Prediction Intervals

(2015) Guoyong Zhang et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Estimating the impact of wind generation and wind forecast errors on energy prices and costs in Ireland

(2015) Gregory P. Swinand et al.   RENEWABLE ENERGY

Game Theoretic Model Predictive Control for Distributed Energy Demand-Side Management

(2015) Edward R. Stephens et al.   IEEE Transactions on Smart Grid

Wind Power Forecasting Using Neural Network Ensembles With Feature Selection

(2015) Song Li et al.   IEEE Transactions on Sustainable Energy

A Short-Term Wind Power Forecasting Approach With Adjustment of Numerical Weather Prediction Input by Data Mining

(2015) Qianyao Xu et al.   IEEE Transactions on Sustainable Energy

Refined Diebold-Mariano Test Methods for the Evaluation of Wind Power Forecasting Models

(2014) Hao Chen et al.   Energies

A Hybrid Intelligent Model for Deterministic and Quantile Regression Approach for Probabilistic Wind Power Forecasting

(2014) Ashraf Ul Haque et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Predicting wind power variability events using different statistical methods driven by regional atmospheric model output

(2014) Nick Ellis et al.   WIND ENERGY

Short-Term Wind Power Ensemble Prediction Based on Gaussian Processes and Neural Networks

(2013) Duehee Lee et al.   IEEE Transactions on Smart Grid

Wind power in modern power systems

(2013) Zhe Chen   Journal of Modern Power Systems and Clean Energy

A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

(2011) Joaquín Derrac et al.   Swarm and Evolutionary Computation