Machine learning-based very short-term load forecasting in microgrid environment: evaluating the impact of high penetration of PV systems

Research article (Electrical Engineering, 2022) · cited 22× · AI/ML
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Machine learning-based very short-term load forecasting in microgrid environment: evaluating the impact of high penetration of PV systems

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Machine learning-based very short-term load forecasting in microgrid environment: evaluating the impact of high penetration of PV systems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine learning-based very short-term load forecasting in microgrid environment: evaluating the impact of high penetration of PV systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-based-very-short-term-load-forecasting-in-microgrid-environment-evaluating-the-impact-of-high-penetrati
MLA “Machine learning-based very short-term load forecasting in microgrid environment: evaluating the impact of high penetration of PV systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-based-very-short-term-load-forecasting-in-microgrid-environment-evaluating-the-impact-of-high-penetrati.
BibTeX @misc{4ortxyz_machine-learning-based-very-short-term-load-forecasting-in-microgrid-environment-evaluating-the-impact-of-high-penetrati_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning-based very short-term load forecasting in microgrid environment: evaluating the impact of high penetration of PV systems}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-based-very-short-term-load-forecasting-in-microgrid-environment-evaluating-the-impact-of-high-penetrati}, note = {Accessed: 2026-05-24}}
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