Wind Power Generation Forecast Based on Multi-Step Informer Network

Interpretable machine learning: Fundamental principles and 10 grand challenges

(2022) Cynthia Rudin et al.   Statistics Surveys

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

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

A novel genetic LSTM model for wind power forecast

(2021) Farah Shahid et al.   ENERGY

Optimization scheme of wind energy prediction based on artificial intelligence

(2021) Yagang Zhang et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

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

(2021) Fei Zhang et al.   RENEWABLE ENERGY

An engineer's guide to eXplainable Artificial Intelligence and Interpretable Machine Learning: Navigating causality, forced goodness, and the false perception of inference

(2021) M.Z. Naser   AUTOMATION IN CONSTRUCTION

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

(2021) Yun Wang et al.   APPLIED ENERGY

Short-term self consumption PV plant power production forecasts based on hybrid CNN-LSTM, ConvLSTM models

(2021) Ali Agga et al.   RENEWABLE ENERGY

Adaptive VMD based optimized deep learning mixed kernel ELM autoencoder for single and multistep wind power forecasting

(2021) Vijaya Krishna Rayi et al.   ENERGY

A novel wavenets long short term memory paradigm for wind power prediction

(2020) Farah Shahid et al.   APPLIED ENERGY

Wind power forecasting of an offshore wind turbine based on high-frequency SCADA data and deep learning neural network

(2020) Zi Lin et al.   ENERGY

A new short-term wind speed forecasting method based on fine-tuned LSTM neural network and optimal input sets

(2020) Gholamreza Memarzadeh et al.   ENERGY CONVERSION AND MANAGEMENT

Uncertain wind power forecasting using LSTM-based prediction interval

(2020) Abhishek Banik et al.   IET Renewable Power Generation

Short-term wind speed forecasting based on the Jaya-SVM model

(2020) Mingshuai Liu et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

An improved residual-based convolutional neural network for very short-term wind power forecasting

(2020) Ceyhun Yildiz 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 Hybrid Deep Learning Model and Comparison for Wind Power Forecasting Considering Temporal-Spatial Feature Extraction

(2020) Hao Zhen et al.   Sustainability

A Kalman filter-based bottom-up approach for household short-term load forecast

(2019) Zhuang Zheng et al.   APPLIED ENERGY

Day ahead powerful probabilistic wind power forecast using combined intelligent structure and fuzzy clustering algorithm

(2019) Lei Li et al.   ENERGY

National and global wind resource assessment under six wind turbine installation scenarios

(2018) Christopher Jung et al.   ENERGY CONVERSION AND MANAGEMENT

Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM

(2018) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station data

(2018) Ravinesh C. Deo et al.   RENEWABLE ENERGY

A new method based on Type-2 fuzzy neural network for accurate wind power forecasting under uncertain data

(2018) Amir Sharifian et al.   RENEWABLE ENERGY

A review and discussion of decomposition-based hybrid models for wind energy forecasting applications

(2018) Zheng Qian et al.   APPLIED ENERGY

Short-term wind speed forecasting using a hybrid model

(2017) Ping Jiang et al.   ENERGY

Non-parametric hybrid models for wind speed forecasting

(2017) Qinkai Han et al.   ENERGY CONVERSION AND MANAGEMENT

Research and application of a novel hybrid forecasting system based on multi-objective optimization for wind speed forecasting

(2017) Pei Du et al.   ENERGY CONVERSION AND MANAGEMENT

One-day ahead wind speed/power prediction based on polynomial autoregressive model

(2017) Oktay Karakuş et al.   IET Renewable Power Generation

Deep belief network based deterministic and probabilistic wind speed forecasting approach

(2016) H.Z. Wang et al.   APPLIED ENERGY

Short-term wind speed forecasting using empirical mode decomposition and feature selection

(2016) Chi Zhang et al.   RENEWABLE ENERGY

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

(2016) Shouxiang Wang et al.   RENEWABLE ENERGY

Investigation of offshore wind energy potential in Hong Kong based on Weibull distribution function

(2015) Z.R. Shu et al.   APPLIED ENERGY

Study on the Maximum Entropy Principle applied to the annual wind speed probability distribution: A case study for observations of intertidal zone anemometer towers of Rudong in East China Sea

(2013) Hua Zhang et al.   APPLIED ENERGY