Intermittent solar power hybrid forecasting system based on pattern recognition and feature extraction
Published 2022 View Full Article
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Title
Intermittent solar power hybrid forecasting system based on pattern recognition and feature extraction
Authors
Keywords
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Journal
ENERGY CONVERSION AND MANAGEMENT
Volume 277, Issue -, Pages 116579
Publisher
Elsevier BV
Online
2022-12-21
DOI
10.1016/j.enconman.2022.116579
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- (2021) Jichuan Yan et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
- Review on Photovoltaic Power and Solar Resource Forecasting: Current Status and Trends
- (2021) Tatiane Carolyne Carneiro et al. JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME
- Short-Term Master-Slave Forecast Method for Distributed Photovoltaic Plants Based on the Spatial Correlation
- (2021) Jia Ning et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- A benchmark for multivariate probabilistic solar irradiance forecasts
- (2021) Dennis van der Meer SOLAR ENERGY
- A State-of-Art-Review on Machine-Learning Based Methods for PV
- (2021) Giuseppe Marco Tina et al. Applied Sciences-Basel
- Ensemble wind speed forecasting with multi-objective Archimedes optimization algorithm and sub-model selection
- (2021) Lifang Zhang et al. APPLIED ENERGY
- Wind speed interval prediction model based on variational mode decomposition and multi-objective optimization
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- (2021) Guohui Li et al. Alexandria Engineering Journal
- A mayfly optimization algorithm
- (2020) Konstantinos Zervoudakis et al. COMPUTERS & INDUSTRIAL ENGINEERING
- New approach to evaluating predictive models of photovoltaic systems
- (2020) P. Dobreva et al. SOLAR ENERGY
- Multi-objective Bonobo Optimizer (MOBO): an intelligent heuristic for multi-criteria optimization
- (2020) Amit Kumar Das et al. KNOWLEDGE AND INFORMATION SYSTEMS
- Benefits of short-term photovoltaic power production forecasting to the power system
- (2020) A. Jakoplić et al. OPTIMIZATION AND ENGINEERING
- A combined model based on data preprocessing strategy and multi-objective optimization algorithm for short-term wind speed forecasting
- (2019) Xinsong Niu et al. APPLIED ENERGY
- Short-term PV power forecasting using hybrid GASVM technique
- (2019) William VanDeventer et al. RENEWABLE ENERGY
- A hybrid deep learning model for short-term PV power forecasting
- (2019) Pengtao Li et al. APPLIED ENERGY
- Short-Term Forecasting of the Output Power of a Building-Integrated Photovoltaic System Using a Metaheuristic Approach
- (2018) Mehdi Seyedmahmoudian et al. Energies
- Forecasting of photovoltaic power generation and model optimization: A review
- (2018) Utpal Kumar Das et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Unsupervised Clustering-Based Short-Term Solar Forecasting
- (2018) Cong Feng et al. IEEE Transactions on Sustainable Energy
- Multi-objective ant lion optimizer: a multi-objective optimization algorithm for solving engineering problems
- (2016) Seyedali Mirjalili et al. APPLIED INTELLIGENCE
- Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization
- (2016) Seyedali Mirjalili et al. EXPERT SYSTEMS WITH APPLICATIONS
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- (2016) Arnaud de Myttenaere et al. NEUROCOMPUTING
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- (2015) Qing-E Wu et al. Journal of Computational and Theoretical Nanoscience
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- (2015) Jie Zhang et al. SOLAR ENERGY
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- (2014) Konstantin Dragomiretskiy et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
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- (2013) Yanting Li et al. RENEWABLE ENERGY
- Ozone concentration forecast method based on genetic algorithm optimized back propagation neural networks and support vector machine data classification
- (2011) Yu Feng et al. ATMOSPHERIC ENVIRONMENT
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