Short-term prediction of the power of a new wind turbine based on IAO-LSTM

Hour-ahead photovoltaic generation forecasting method based on machine learning and multi objective optimization algorithm

(2022) Jianzhou Wang et al.   APPLIED ENERGY

Wind power prediction based on EEMD-Tent-SSA-LS-SVM

(2022) Zheng Li et al.   Energy Reports

Deep Learning Based Forecasting of Photovoltaic Power Generation by Incorporating Domain Knowledge

(2021) Xing Luo et al.   ENERGY

Photovoltaic output power performance assessment and forecasting: Impact of meteorological variables

(2021) Abderrezzaq Ziane et al.   SOLAR ENERGY

Long short term memory–convolutional neural network based deep hybrid approach for solar irradiance forecasting

(2021) Pratima Kumari et al.   APPLIED ENERGY

A multi-step ahead photovoltaic power prediction model based on similar day, enhanced colliding bodies optimization, variational mode decomposition, and deep extreme learning machine

(2021) Qing Li et al.   ENERGY

Optimized ANFIS Model Using Aquila Optimizer for Oil Production Forecasting

(2021) Ayman Mutahar AlRassas et al.   Processes

SolarNet: A hybrid reliable model based on convolutional neural network and variational mode decomposition for hourly photovoltaic power forecasting

(2021) Deniz Korkmaz   APPLIED ENERGY

Boosting COVID-19 Image Classification Using MobileNetV3 and Aquila Optimizer Algorithm

(2021) Mohamed Abd Elaziz et al.   Entropy

Investigation of spectrophotometric simultaneous absorption of Salmeterol and Fluticasone in Seroflo spray by continuous wavelet transform and radial basis function neural network methods

(2021) Maryam Valizadeh et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Photovoltaic power prediction of LSTM model based on Pearson feature selection

(2021) Hailang Chen et al.   Energy Reports

Short-Term Nacelle Orientation Forecasting Using Bilinear Transformation and ICEEMDAN Framework

(2021) Huajin Li et al.   Frontiers in Energy Research

Solar photovoltaic power prediction using different machine learning methods

(2021) Bouchaib Zazoum   Energy Reports

A new approach to river flow forecasting: LSTM and GRU multivariate models

(2020) Gabriel Adriano de Melo et al.   IEEE Latin America Transactions

Multi-Step Short-Term Wind Speed Prediction Using a Residual Dilated Causal Convolutional Network with Nonlinear Attention

(2020) Kumar Shivam et al.   Energies

A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization

(2020) R. Ahmed et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A novel non-iterative correction method for short-term photovoltaic power forecasting

(2020) Wansi Yin et al.   RENEWABLE ENERGY

Day-ahead power forecasting in a large-scale photovoltaic plant based on weather classification using LSTM

(2019) Mingming Gao et al.   ENERGY

Wind speed prediction method using Shared Weight Long Short-Term Memory Network and Gaussian Process Regression

(2019) Zhendong Zhang et al.   APPLIED ENERGY

Spiral-diving trajectory optimization for hypersonic vehicles by second-order cone programming

(2019) Lei He et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Short-Term Wind Speed Interval Prediction Based on Ensemble GRU Model

(2019) Chaoshun Li et al.   IEEE Transactions on Sustainable Energy

Analytical approach to spacecraft formation-flying with low-thrust relative spiral trajectories

(2018) Matthew Willis et al.   ACTA ASTRONAUTICA

Use long short-term memory to enhance Internet of Things for combined sewer overflow monitoring

(2018) Duo Zhang et al.   JOURNAL OF HYDROLOGY

A novel framework for wind speed prediction based on recurrent neural networks and support vector machine

(2018) Chuanjin Yu et al.   ENERGY CONVERSION AND MANAGEMENT