Economic merits of a state-of-the-art concentrating solar power forecasting system for participation in the Spanish electricity market

Solar Energy ◽

10.1016/j.solener.2013.04.012 ◽

2013 ◽

Vol 93 ◽

pp. 244-255 ◽

Cited By ~ 63

Author(s):

Birk Kraas ◽

Marion Schroedter-Homscheidt ◽

Reinhard Madlener

Keyword(s):

Electricity Market ◽

Solar Power ◽

State Of The Art ◽

Concentrating Solar Power ◽

Forecasting System ◽

Solar Power Forecasting ◽

Power Forecasting

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Economic Assessment of a Concentrating Solar Power Forecasting System for Participation in the Spanish Electricity Market

SSRN Electronic Journal ◽

10.2139/ssrn.1874063 ◽

2011 ◽

Cited By ~ 68

Author(s):

Birk Kraas ◽

Marion Schroedter-Homscheidt ◽

Benedikt Pulvermüller ◽

Reinhard Madlener

Keyword(s):

Electricity Market ◽

Solar Power ◽

Economic Assessment ◽

Concentrating Solar Power ◽

Forecasting System ◽

Solar Power Forecasting ◽

Power Forecasting

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

Renewable and Sustainable Energy Reviews ◽

10.1016/j.rser.2020.109792 ◽

2020 ◽

Vol 124 ◽

pp. 109792 ◽

Cited By ~ 25

Author(s):

R. Ahmed ◽

V. Sreeram ◽

Y. Mishra ◽

M.D. Arif

Keyword(s):

Solar Power ◽

State Of The Art ◽

The State ◽

Solar Power Forecasting ◽

Power Forecasting ◽

Forecasting Techniques

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Ensemble methods for wind and solar power forecasting—A state-of-the-art review

Renewable and Sustainable Energy Reviews ◽

10.1016/j.rser.2015.04.081 ◽

2015 ◽

Vol 50 ◽

pp. 82-91 ◽

Cited By ~ 157

Author(s):

Ye Ren ◽

P.N. Suganthan ◽

N. Srikanth

Keyword(s):

Solar Power ◽

State Of The Art ◽

Ensemble Methods ◽

Solar Power Forecasting ◽

Power Forecasting

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Development of the Hybrid Spatio-Temporal Solar Power Forecasting System based on Probability

Journal of the Korean Institute of Illuminating and Electrical Installation Engineers ◽

10.5207/jieie.2018.32.10.017 ◽

2018 ◽

Vol 32 (10) ◽

pp. 17-23

Author(s):

Seungbeom Nam ◽

Jin Hur

Keyword(s):

Solar Power ◽

Forecasting System ◽

Spatio Temporal ◽

Solar Power Forecasting ◽

Power Forecasting

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Improving solar power forecasting to reduce regulation Frequency Control Ancillary Services causer pay in the National Electricity Market

El Sawah, S. (ed.) MODSIM2019, 23rd International Congress on Modelling and Simulation. ◽

10.36334/modsim.2019.f1.huangj2 ◽

2019 ◽

Keyword(s):

Electricity Market ◽

Solar Power ◽

Frequency Control ◽

Ancillary Services ◽

National Electricity Market ◽

Solar Power Forecasting ◽

Power Forecasting

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The Latest Update of JMA Numerical Weather Prediction Models and its Solar Power Forecasting Errors

IEEJ Transactions on Power and Energy ◽

10.1541/ieejpes.138.881 ◽

2018 ◽

Vol 138 (11) ◽

pp. 881-892 ◽

Cited By ~ 1

Author(s):

Hideaki Ohtake ◽

Fumichika Uno ◽

Takashi Oozeki ◽

Yoshinori Yamada

Keyword(s):

Numerical Weather Prediction ◽

Solar Power ◽

Prediction Models ◽

Weather Prediction ◽

Numerical Weather ◽

Solar Power Forecasting ◽

Forecasting Errors ◽

Numerical Weather Prediction Models ◽

Power Forecasting

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Short Term Solar Power Forecasting using Hybrid Minimum Variance Expanded RVFLN and Sine-Cosine Levy Flight PSO Algorithm

Renewable Energy ◽

10.1016/j.renene.2021.04.088 ◽

2021 ◽

Author(s):

Deepak Ranjan Das ◽

P.K. Dash ◽

Ranjeeta Bisoi

Keyword(s):

Solar Power ◽

Pso Algorithm ◽

Minimum Variance ◽

Lévy Flight ◽

Short Term ◽

Levy Flight ◽

Solar Power Forecasting ◽

Power Forecasting

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Multi-channel convolutional neural network for integration of meteorological and geographical features in solar power forecasting

Applied Energy ◽

10.1016/j.apenergy.2021.117083 ◽

2021 ◽

Vol 295 ◽

pp. 117083

Author(s):

Jae Heo ◽

Kwonsik Song ◽

SangUk Han ◽

Dong-Eun Lee

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Solar Power ◽

Solar Power Forecasting ◽

Power Forecasting

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Post-processing of NWP forecasts using Kalman filtering with operational constraints for day-ahead solar power forecasting in Thailand

IEEE Access ◽

10.1109/access.2021.3099481 ◽

2021 ◽

pp. 1-1

Author(s):

Supachai Suksamosorn ◽

Naebboon Hoonchareon ◽

Jitkomut Songsiri

Keyword(s):

Kalman Filtering ◽

Solar Power ◽

Post Processing ◽

Operational Constraints ◽

Solar Power Forecasting ◽

Power Forecasting

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Solar power forecasting with sparse vector autoregression structures

2017 IEEE Manchester PowerTech ◽

10.1109/ptc.2017.7981201 ◽

2017 ◽

Author(s):

Laura Cavalcante ◽

Ricardo J. Bessa

Keyword(s):

Solar Power ◽

Vector Autoregression ◽

Sparse Vector ◽

Solar Power Forecasting ◽

Power Forecasting

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