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Works cited by this work

21 works

Work: Data-driven economic predictive control for sustainable management of renewable energy systems

  1. Sustainable Economic Development and Greenhouse Gas Emissions: The Dynamic Impact of Renewable Energy Consumption, GDP, and Corruption

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  2. The Applicability of Machine Learning Algorithms in Predictive Modeling for Sustainable Energy Management

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  4. Optimum design of hybrid renewable energy systems: Overview of different approaches

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  5. Solar radiation prediction using Artificial Neural Network techniques: A review

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  6. An Artificial-Intelligence-Based Renewable Energy Prediction Program for Demand-Side Management in Smart Grids

    A. Vinothini, Hayder M. A. Ghanimi, Denis A. Pustokhin +5

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  7. Economic Model Predictive Control for Microgrid Optimization: A Review

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  8. Use of artificial neural network for the prediction of bioelectricity production in a membrane less microbial fuel cell

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  9. Short-term wind power forecasting using evolutionary algorithms for the automated specification of artificial intelligence models

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  10. Design of CO2 hydrogenation catalyst by an artificial neural network

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  11. Solar irradiance feature extraction and support vector machines based weather status pattern recognition model for short-term photovoltaic power forecasting

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  12. A neural network estimator of Solid Oxide Fuel Cell performance for on-field diagnostics and prognostics applications

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  13. Artificial neural network‐based modelling of compensated multi‐crystalline solar‐grade silicon under wide temperature variations

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  14. A data-driven multi-model methodology with deep feature selection for short-term wind forecasting

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