Abstract
Solar panels, wind farms, batteries, and power transformers are among the several types of distributed energy resources used in today’s power system. Data connections and IoT sensors are common features of DERs, and they create a lot of data. These data may be used to increase system efficiency as well as create extra values, in addition to monitoring device status. In this study, we look at the technical benefits of AI algorithms on the expanding DER data. First, we attempted to demonstrate how artificial intelligence and the internet of things may help renewable energy systems function better. Second, AIoT (Artificial Intelligence Internet of Things) is introduced as a new sector following IoT technology. AIoT (Artificial Intelligence Internet of Things) are new technologies that combine AI with IoT to provide new opportunities in the distributed energy resources (DER) industry. Finally, this article concentrates on AIoT applications in renewable energy sources such as solar and wind.
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El Himer, S., Ouaissa, M., Ouaissa, M., Boulouard, Z. (2022). Artificial Intelligence of Things (AIoT) for Renewable Energies Systems. In: El Himer, S., Ouaissa, M., Emhemed, A.A.A., Ouaissa, M., Boulouard, Z. (eds) Artificial Intelligence of Things for Smart Green Energy Management. Studies in Systems, Decision and Control, vol 446. Springer, Cham. https://doi.org/10.1007/978-3-031-04851-7_1
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