HBO-LSTM: Optimized long short term memory with heap-based optimizer for wind power forecasting
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
HBO-LSTM: Optimized long short term memory with heap-based optimizer for wind power forecasting
Authors
Keywords
-
Journal
ENERGY CONVERSION AND MANAGEMENT
Volume 268, Issue -, Pages 116022
Publisher
Elsevier BV
Online
2022-07-27
DOI
10.1016/j.enconman.2022.116022
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- 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
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started