A novel few-shot learning approach for wind power prediction applying secondary evolutionary generative adversarial network

Conformalized temporal convolutional quantile regression networks for wind power interval forecasting

(2022) Jianming Hu et al.   ENERGY

Numerical weather prediction enhanced wind power forecasting: Rank ensemble and probabilistic fluctuation awareness

(2022) Chenyu Liu et al.   APPLIED ENERGY

Application of online multitask learning based on least squares support vector regression in the financial market

(2022) Heng-Chang Zhang et al.   APPLIED SOFT COMPUTING

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

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

Time series forecasting for hourly photovoltaic power using conditional generative adversarial network and Bi-LSTM

(2022) Xiaoqiao Huang et al.   ENERGY

A short-term wind speed prediction method based on interval type 2 fuzzy model considering the selection of important input variables

(2022) Yaxue Ren et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

An evolutionary deep learning model based on TVFEMD, improved sine cosine algorithm, CNN and BiLSTM for wind speed prediction

(2022) Chu Zhang et al.   ENERGY

Short-term wind speed prediction based on feature extraction with Multi-task Lasso and Multilayer Perceptron

(2022) Hui Wang et al.   Energy Reports

Exploration of Principal Component Analysis: Deriving Principal Component Analysis Visually Using Spectra

(2021) J. Renwick Beattie et al.   APPLIED SPECTROSCOPY

Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction

(2021) Ming-De Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Application of autoregressive dynamic adaptive (ARDA) model in real-time wind power forecasting

(2021) Fei Zhang et al.   RENEWABLE ENERGY

A Reconstruction Method for Missing Data in Power System Measurement Based on LSGAN

(2021) Changgang Wang et al.   Frontiers in Energy Research

A new ANN model for hourly solar radiation and wind speed prediction: A case study over the north & south of the Arabian Peninsula

(2021) Bashar Shboul et al.   Sustainable Energy Technologies and Assessments

Review of meta-heuristic algorithms for wind power prediction: Methodologies, applications and challenges

(2021) Peng Lu et al.   APPLIED ENERGY

Multi-step wind speed forecasting based on secondary decomposition algorithm and optimized back propagation neural network

(2021) Wei Sun et al.   APPLIED SOFT COMPUTING

A hybrid deep learning architecture for wind power prediction based on bi-attention mechanism and crisscross optimization

(2021) Anbo Meng et al.   ENERGY

A Hybrid Optimized Model of Adaptive Neuro-Fuzzy Inference System, Recurrent Kalman Filter and Neuro-Wavelet for Wind Power Forecasting Driven by DFIG

(2021) Hamed H.H. Aly   ENERGY

A novel transfer learning approach for wind power prediction based on a serio-parallel deep learning architecture

(2021) Hao Yin et al.   ENERGY

A novel asexual-reproduction evolutionary neural network for wind power prediction based on generative adversarial networks

(2021) Hao Yin et al.   ENERGY CONVERSION AND MANAGEMENT

Privacy-Preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach

(2021) Yang Li et al.   IEEE Transactions on Industrial Informatics

A review on the long short-term memory model

(2020) Greg Van Houdt et al.   ARTIFICIAL INTELLIGENCE REVIEW

Wind power forecasting using attention-based gated recurrent unit network

(2020) Zhewen Niu et al.   ENERGY

Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation

(2020) Shuai Gao et al.   JOURNAL OF HYDROLOGY

Day‐ahead renewable scenario forecasts based on generative adversarial networks

(2020) Congmei Jiang et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

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

Short-term prediction of wind power and its ramp events based on semi-supervised generative adversarial network

(2020) Bin Zhou et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Effective wind power prediction using novel deep learning network: Stacked independently recurrent autoencoder

(2020) Lin Wang et al.   RENEWABLE ENERGY

Temporal attention improves perception similarly at foveal and parafoveal locations

(2019) Antonio Fernández et al.   JOURNAL OF VISION

Neuronal effects of spatial and feature attention differ due to normalization

(2019) Amy M. Ni et al.   JOURNAL OF NEUROSCIENCE

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

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

Evolutionary Generative Adversarial Networks

(2019) Chaoyue Wang et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting

(2019) Jie Sun et al.   Information Fusion

Model-Free Renewable Scenario Generation Using Generative Adversarial Networks

(2018) Yize Chen et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Data-Driven Correction Approach to Refine Power Curve of Wind Farm Under Wind Curtailment

(2018) Yongning Zhao et al.   IEEE Transactions on Sustainable Energy

Advanced wind power prediction based on data-driven error correction

(2018) Jing Yan et al.   ENERGY CONVERSION AND MANAGEMENT

A novel system based on neural networks with linear combination framework for wind speed forecasting

(2018) Jianzhou Wang et al.   ENERGY CONVERSION AND MANAGEMENT

A novel combination forecasting model for wind power integrating least square support vector machine, deep belief network, singular spectrum analysis and locality-sensitive hashing

(2018) Yachao Zhang et al.   ENERGY

Assessment of deep recurrent neural network-based strategies for short-term building energy predictions

(2018) Cheng Fan et al.   APPLIED ENERGY

Feature-Selective Attention Adaptively Shifts Noise Correlations in Primary Auditory Cortex

(2017) Joshua D. Downer et al.   JOURNAL OF NEUROSCIENCE

Particle swarm optimization algorithm: an overview

(2017) Dongshu Wang et al.   SOFT COMPUTING

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

A survey on the application of recurrent neural networks to statistical language modeling

(2015) Wim De Mulder et al.   COMPUTER SPEECH AND LANGUAGE

Crisscross optimization algorithm and its application

(2014) An-bo Meng et al.   KNOWLEDGE-BASED SYSTEMS