An overview of machine learning, deep learning, and artificial intelligence

Gebreel, Alia Youssef

doi:10.31219/osf.io/7cuxz

Cited by 2 publications

(1 citation statement)

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“…Artificial intelligence technology is a technology that simulates human intelligence, including machine learning, deep learning, natural language processing and many other fields. [5] Artificial intelligence technology can discover the laws and patterns in a large number of data through analysis and learning, thus realizing the prediction and decision-making for the future. [6] In the field of smart grid, artificial intelligence technology can be applied to power demand forecasting, fault detection and location, energy optimal scheduling and other aspects, providing strong support for intelligent ISSN 2522-3488 Vol.…”

Section: Overview Of Smart Grid and Artificial Intelligencementioning

confidence: 99%

Research on Smart Grid Forecasting Strategy Based on Artificial Intelligence

2024

IJNDES

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This paper deeply discusses the smart grid forecasting strategy based on artificial intelligence technology. Firstly, the development status and integration trend of smart grid and artificial intelligence technology are summarized. Then the existing smart grid forecasting strategies are analyzed, and the application of artificial intelligence in forecasting strategies is emphatically discussed. On this basis, the framework of smart grid forecasting strategy based on artificial intelligence is constructed, and the key links of strategy construction are expounded in detail, including data collection and processing, model selection and training, and forecasting result evaluation. Through the application of practical cases, the effectiveness of this strategy in improving prediction accuracy and stability is verified. Finally, the research results are summarized, and the existing problems of the current strategy and the future research direction are pointed out. The research in this paper provides technical support for the optimal scheduling and decision-making of smart grid, and helps to promote the sustainable development of smart grid.

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Section: Overview Of Smart Grid and Artificial Intelligencementioning

confidence: 99%