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- W3142992258 abstract "Hybrid energies interest many companies and countries. No form of electricity production is optimal in all situations. The wind and the sun are intermittent but do not consume fuel and do not emit greenhouse gases. Natural gas electricity production emits greenhouse gases but is distributable (i.e. it has a yield that can be easily controlled between maximum values of nominal capacity or reduced to zero) to help balance supply and demand. Hydroelectric power often requires and devotes large areas, but is renewable and distributable. However, the realization of all these projects remains dependent on the development of more efficient and more economical electrical energy storage systems. Hybrid power plants: a solution for the future? To provide energy that is more affordable, more reliable, and more sustainable. AI, smart grid [6] and Energy storage: The dynamics of new energies, that is to say, local and renewable, are indeed launched. To succeed in this revolution, the problem of storing renewable energies, due to their intermittent nature, remains to be resolved. Machine learning and neural networks play an important role in improving forecasts in the energy industry." @default.
- W3142992258 created "2021-04-13" @default.
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- W3142992258 date "2020-06-05" @default.
- W3142992258 modified "2023-10-18" @default.
- W3142992258 title "Hybridization and energy storage high efficiency and low cost" @default.
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- W3142992258 doi "https://doi.org/10.1109/cist49399.2021.9357198" @default.
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