Multi-step multivariate forecasting of transmission power in NPPs using operational and meteorological data
As the proportion of renewable energy has increased in the national power grid of Republic of Korea, various efforts are needed to maintain the stability of total power generation. All kinds of power plants, including nuclear power, must notify the grid operation organization of their expected trans...
Saved in:
Main Authors: | Jaeseok Yoo, Young-jin Oh, Nam-hyun Kim, Soo-ill Lee, Jaepil Ko |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-02-01
|
Series: | Nuclear Engineering and Technology |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1738573324004170 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Forecasting Weather using Deep Learning from the Meteorological Stations Data : A Study of Different Meteorological Stations in Kaski District, Nepal
by: Supath Dhital, et al.
Published: (2024-06-01) -
Bridging the gap: rescuing and digitizing historical meteorological records
by: Kofi Asare, et al.
Published: (2025-02-01) -
Air Pollution Forecasting Using Artificial and Wavelet Neural Networks with Meteorological Conditions
by: Qingchun Guo, et al.
Published: (2020-05-01) -
Design and Application of a Data-computation Integrated Database for Meteorological Grid Data
by: Wang Shu, et al.
Published: (2025-01-01) -
MIESTC: A Multivariable Spatio-Temporal Model for Accurate Short-Term Wind Speed Forecasting
by: Shaohan Li, et al.
Published: (2025-01-01)