HBO-LSTM: Optimized long short term memory with heap-based optimizer for wind power forecasting

Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques

(2022) Laith Abualigah et al.   Energies

A Novel Theoretical and Practical Methodology for Extracting the Parameters of the Single and Double Diode Photovoltaic Models

(2022) Hussein Mohammed Ridha et al.   IEEE Access

Parameterization of photovoltaic solar cell double-diode model based on improved arithmetic optimization algorithm

(2022) Abdelkader Abbassi et al.   OPTIK

Modified aquila optimizer for forecasting oil production

(2022) Mohammed A. A. Al-qaness et al.   Geo-Spatial Information Science

Prediction of software vulnerability based deep symbiotic genetic algorithms: Phenotyping of dominant-features

(2021) Canan Batur Şahin et al.   APPLIED INTELLIGENCE

A novel genetic LSTM model for wind power forecast

(2021) Farah Shahid et al.   ENERGY

Decomposition-based hybrid wind speed forecasting model using deep bidirectional LSTM networks

(2021) K.U. Jaseena et al.   ENERGY CONVERSION AND MANAGEMENT

Wind turbine power output prediction using a new hybrid neuro-evolutionary method

(2021) Mehdi Neshat et al.   ENERGY

A novel hybrid model based on nonlinear weighted combination for short-term wind power forecasting

(2021) Jiandong Duan et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Estimating the density of hybrid nanofluids for thermal energy application: Application of non-parametric and evolutionary polynomial regression data-intelligent techniques

(2021) Mehdi Jamei et al.   MEASUREMENT

Hourly day-ahead wind power forecasting with the EEMD-CSO-LSTM-EFG deep learning technique

(2020) A. Shobana Devi et al.   SOFT COMPUTING

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

Heap-based optimizer inspired by corporate rank hierarchy for global optimization

(2020) Qamar Askari et al.   EXPERT SYSTEMS WITH APPLICATIONS

Short-term electricity load and price forecasting by a new optimal LSTM-NN based prediction algorithm

(2020) Gholamreza Memarzadeh et al.   ELECTRIC POWER SYSTEMS RESEARCH

Wind Power Short-Term Prediction Based on LSTM and Discrete Wavelet Transform

(2019) Yao Liu et al.   Applied Sciences-Basel

Wind power forecast based on improved Long Short Term Memory network

(2019) Li Han et al.   ENERGY

Application of hybrid model based on double decomposition, error correction and deep learning in short-term wind speed prediction

(2019) Zherui Ma et al.   ENERGY CONVERSION AND MANAGEMENT

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

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

Short-term Load Forecasting with Deep Residual Networks

(2018) Kunjin Chen et al.   IEEE Transactions on Smart Grid

Multi-output bus travel time prediction with convolutional LSTM neural network

(2018) Niklas Christoffer Petersen et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

A combined model based on CEEMDAN and modified flower pollination algorithm for wind speed forecasting

(2017) Wenyu Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

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

Wind speed forecasting using FEEMD echo state networks with RELM in Hebei, China

(2016) Wei Sun et al.   ENERGY CONVERSION AND MANAGEMENT

SCA: A Sine Cosine Algorithm for solving optimization problems

(2016) Seyedali Mirjalili   KNOWLEDGE-BASED SYSTEMS

Forecasting of global horizontal irradiance by exponential smoothing, using decompositions

(2015) Dazhi Yang et al.   ENERGY

Four wind speed multi-step forecasting models using extreme learning machines and signal decomposing algorithms

(2015) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Grey Wolf Optimizer

(2014) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE