Error analysis of hybrid photovoltaic power forecasting models: A case study of mediterranean climate
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- Type
- article
- Published
- 2015-08-01
- Cited by
- 104
- References
- 61
- OpenAlex
- https://openalex.org/W231446412
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:107554869
Keywords
Photovoltaic system, Kurtosis, Support vector machine, Mean squared error, Artificial neural network
References
- Solar Energy Forecasting and Resource Assessment
- Least Squares Support Vector Machines
- Performance measurements of monocrystalline silicon PV modules in South-eastern Italy
- Neural network based method for conversion of solar radiation data
- Forecasting wind with neural networks
- Forecasting wind speed with recurrent neural networks
- A comparison of various forecasting techniques applied to mean hourly wind speed time series
- Comparison of static-feedforward and dynamic-feedback neural networks for rainfall -runoff modeling
- Photovoltaic power production forecasts with support vector regression: A study on the forecast horizon
- Energy storage for PV power plant dispatching
- An adaptive model for predicting of global, direct and diffuse hourly solar irradiance
- Support vector machine based battery model for electric vehicles
- Calculation of the energy provided by a PV generator. Comparative study: Conventional methods vs. artificial neural networks
- Characterisation of Si-crystalline PV modules by artificial neural networks
- Estimation of monthly solar radiation from measured temperatures using support vector machines – A case study
- On the Uncertainty of Wind Power Predictions—Analysis of the Forecast Accuracy and Statistical Distribution of Errors
- Day-ahead electricity prices forecasting by a modified CGSA technique and hybrid WT in LSSVM based scheme
- Fine tuning support vector machines for short-term wind speed forecasting
- A review on the forecasting of wind speed and generated power
- Assessment of the benefits of numerical weather predictions in wind power forecasting based on stati
Cited by
- Cavitation Regime Detection by LS-SVM and ANN With Wavelet Decomposition Based on Pressure Sensor Signals
- Modelling self-optimised short term load forecasting for medium voltage loads using tunning fuzzy systems and Artificial Neural Networks
- A New Approach to Detection of Systematic Errors in Secondary Substation Monitoring Equipment Based on Short Term Load Forecasting
- Comparative Study on Theoretical and Machine Learning Methods for Acquiring Compressed Liquid Densities of 1,1,1,2,3,3,3-Heptafluoropropane (R227ea) via Song and Mason Equation, Support Vector Machine, and Artificial Neural Networks
- Wind speed forecasting using FEEMD echo state networks with RELM in Hebei, China
- Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran
- Data on photovoltaic power forecasting models for Mediterranean climate
- Comparison of strategies for multi-step ahead photovoltaic power forecasting models based on hybrid group method of data handling networks and least square support vector machine
- Photovoltaic panel and array static models for power production prediction: Integration of manufacturers' and on-line data
- Photovoltaic forecast based on hybrid PCA-LSSVM using dimensionality reducted data
- A novel bidirectional mechanism based on time series model for wind power forecasting
- CFD modeling to evaluate the thermal performances of window frames in accordance with the ISO 10077
- Review of photovoltaic power forecasting
- Forecasting the daily power output of a grid-connected photovoltaic system based on multivariate adaptive regression splines
- Data on Support Vector Machines (SVM) model to forecast photovoltaic power
- Improvements in the predictions for the photovoltaic system performance of the Mediterranean regions
- A one-day-ahead photovoltaic array power production prediction with combined static and dynamic on-line correction
- Research and Application of a Novel Hybrid Model Based on Data Selection and Artificial Intelligence Algorithm for Short Term Load Forecasting
- Assessing energy forecasting inaccuracy by simultaneously considering temporal and absolute errors
- Long term performance, losses and efficiency analysis of a 960 kWP photovoltaic system in the Mediterranean climate
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