Homogenized Point Mutual Information and Deep Quantum Reinforced Wind Power Prediction
Accurate wind power prediction is very predominant for genuine and effective power systems with high wind power perception. Wind power prediction, as well as wind power generation resources, receives the electrical energy by converting wind into rotational energy of the blades and converting rotatio...
Saved in:
Main Authors: | W. G. Jency, J. E. Judith |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | International Transactions on Electrical Energy Systems |
Online Access: | http://dx.doi.org/10.1155/2022/3686786 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Mutual Aid and Informal Finance
by: Elise M. Dermineur, et al.
Published: (2023-06-01) -
Conv‐ELSTM: An ensemble deep learning approach for predicting short‐term wind power
by: Guibin Wang, et al.
Published: (2024-12-01) -
Quantum tug of war between randomness and symmetries on homogeneous spaces
by: Rahul Arvind, et al.
Published: (2025-01-01) -
Data Homogeneity Effect in Deep Learning-Based Prediction of Type 1 Diabetic Retinopathy
by: Jui-En Lo, et al.
Published: (2021-01-01) -
Superconducting quantum computing optimization based on multi-objective deep reinforcement learning
by: Yangting Liu
Published: (2025-01-01)