Relations (1)

related 2.00 — strongly supporting 3 facts

Artificial intelligence is increasingly utilized to enhance forecasting models for renewable energy resources as described in [1], and it is recognized as an emerging research area within the broader field of sustainable energy [2]. Furthermore, the intersection of these two concepts is the primary focus of academic literature, such as the 2024 study published in Sustainability [3].

Facts (3)

Sources
Global perspectives on energy technology assessment and ... link.springer.com Springer 2 facts
claimDominant research topics in ETA-related sustainable energy include Renewable Energy, Energy Storage, Carbon Capture, Sustainability, ETA, and Solar Energy, with emerging areas including Artificial Intelligence, Grid Integration, and Low-Carbon Technology.
referenceThe article 'Navigating the nexus of artificial intelligence and renewable energy for the advancement of sustainable development goals' was published in Sustainability in 2024 (Volume 16, article 9144).
A critical review on techno-economic analysis of hybrid renewable ... link.springer.com Springer 1 fact
claimResearch in resource forecasting for renewable energy focuses on improving forecasting models through the use of advanced meteorological data, machine learning, and artificial intelligence techniques.