A survey of long short term memory and its associated models in sustainable wind energy predictive analytics
S Garg, R Krishnamurthi - Artificial Intelligence Review, 2023 - Springer
Sustainable energy is the new normal towards saving the environment, thus resources
generating sustainable green energy have gained global attention. Out of all the …
generating sustainable green energy have gained global attention. Out of all the …
Power grid based renewable energy analysis by photovoltaic cell machine learning architecture in wind energy hybridization
Use of solar energy systems and related green energy technology has spread around the
world. When compared to conventional energy sources, solar energy is still not a frequently …
world. When compared to conventional energy sources, solar energy is still not a frequently …
Key Issues of Predictive Analytics Implementation: A Sociotechnical Perspective
L Chen, R Nath, N Rocco - Journal of International …, 2024 - scholarworks.lib.csusb.edu
Developing an effective business analytics function within a company has become a crucial
component to an organization's competitive advantage today. Predictive analytics enables …
component to an organization's competitive advantage today. Predictive analytics enables …
Anomaly data identification for wind farms based on composite machine learning
Y Wu, J Zhang, S Huang - Journal of Renewable and Sustainable …, 2022 - pubs.aip.org
The harshness and uncertainty of the operating environment have caused a large amount of
anomaly data to wind farms, so clean and valid operation data are essential for smart wind …
anomaly data to wind farms, so clean and valid operation data are essential for smart wind …