Very Short-term Forecasting of Wind Power Generation using Hybrid Deep Learning Model

A multi-stage predicting methodology based on data decomposition and error correction for ultra-short-term wind energy prediction

(2021) Yagang Zhang et al.   JOURNAL OF CLEANER PRODUCTION

Wind power forecasting using attention-based gated recurrent unit network

(2020) Zhewen Niu et al.   ENERGY

A novel spatio-temporal wind power forecasting framework based on multi-output support vector machine and optimization strategy

(2020) Peng Lu et al.   JOURNAL OF CLEANER PRODUCTION

Study on environment-concerned short-term load forecasting model for wind power based on feature extraction and tree regression

(2020) Jicheng Liu et al.   JOURNAL OF CLEANER PRODUCTION

Improving short-term wind power prediction using hybrid improved cuckoo search arithmetic - Support vector regression machine

(2020) Ling-ling Li et al.   JOURNAL OF CLEANER PRODUCTION

Ultra-short-term combined prediction approach based on kernel function switch mechanism

(2020) Peng Lu et al.   RENEWABLE ENERGY

Modified PSO algorithm for real-time energy management in grid-connected microgrids

(2019) Md Alamgir Hossain et al.   RENEWABLE ENERGY

Direct Multistep Wind Speed Forecasting Using LSTM Neural Network Combining EEMD and Fuzzy Entropy

(2019) Qiong Qin et al.   Applied Sciences-Basel

Mid-to-long term wind and photovoltaic power generation prediction based on copula function and long short term memory network

(2019) Shuang Han et al.   APPLIED ENERGY

Universality of deep convolutional neural networks

(2019) Ding-Xuan Zhou   APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS

Evolution of microgrids with converter-interfaced generations: Challenges and opportunities

(2019) Md Alamgir Hossain et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A hybrid deep learning-based neural network for 24-h ahead wind power forecasting

(2019) Ying-Yi Hong et al.   APPLIED ENERGY

Ultra short‐term probability prediction of wind power based on LSTM network and condition normal distribution

(2019) Yonghui Sun et al.   WIND ENERGY

Energy scheduling of community microgrid with battery cost using particle swarm optimisation

(2019) Md Alamgir Hossain et al.   APPLIED ENERGY

Short-term Wind Power Forecasting Based on Two-stage Attention Mechanism

(2019) Xiangwen Wang et al.   IET Renewable Power Generation

Ultra-short term wind prediction with wavelet transform, deep belief network and ensemble learning

(2019) He Jiajun et al.   ENERGY CONVERSION AND MANAGEMENT

Short-term wind power forecasting based on support vector machine with improved dragonfly algorithm

(2019) Ling-Ling Li et al.   JOURNAL OF CLEANER PRODUCTION

A comparative study of the data-driven day-ahead hourly provincial load forecasting methods: From classical data mining to deep learning

(2019) Xin Liu et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

(2019) Fermín Rodríguez et al.   RENEWABLE ENERGY

A hybrid wind power forecasting approach based on Bayesian model averaging and ensemble learning

(2019) Gang Wang et al.   RENEWABLE ENERGY

Ultra-Short-Term Probabilistic Wind Turbine Power Forecast Based on Empirical Dynamic Modeling

(2019) Jiayi Ma et al.   IEEE Transactions on Sustainable Energy

Wind Power Forecasting Based on Echo State Networks and Long Short-Term Memory

(2018) Erick López et al.   Energies

Short-term Wind Speed Forecasting via Stacked Extreme Learning Machine With Generalized Correntropy

(2018) Xiong Luo et al.   IEEE Transactions on Industrial Informatics

Forecasting the High Penetration of Wind Power on Multiple Scales Using Multi-to-Multi Mapping

(2018) Jie Yan et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Nonparametric Prediction Intervals of Wind Power via Linear Programming

(2018) Can Wan et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Interval Deep Generative Neural Network for Wind Speed Forecasting

(2018) Mahdi Khodayar et al.   IEEE Transactions on Smart Grid

Application of support vector machine models for forecasting solar and wind energy resources: A review

(2018) Alireza Zendehboudi et al.   JOURNAL OF CLEANER PRODUCTION

Ultra-Short-Term Wind Power Prediction Based on Multivariate Phase Space Reconstruction and Multivariate Linear Regression

(2018) Rongsheng Liu et al.   Energies

LSTM-EFG for wind power forecasting based on sequential correlation features

(2018) Ruiguo Yu et al.   Future Generation Computer Systems-The International Journal of eScience

Overview of AC Microgrid Controls with Inverter-Interfaced Generations

(2017) Md Hossain et al.   Energies

Short-Term Residential Load Forecasting based on LSTM Recurrent Neural Network

(2017) Weicong Kong et al.   IEEE Transactions on Smart Grid

A New Fuzzy-Based Combined Prediction Interval for Wind Power Forecasting

(2016) Abdollah Kavousi-Fard et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Robust Energy Management System for a Microgrid Based on a Fuzzy Prediction Interval Model

(2016) Felipe Valencia et al.   IEEE Transactions on Smart Grid

Wind Power Forecasts Using Gaussian Processes and Numerical Weather Prediction

(2013) Niya Chen et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Day-ahead wind speed forecasting using f-ARIMA models

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

On-line monitoring of power curves

(2008) Andrew Kusiak et al.   RENEWABLE ENERGY