Power grid frequency prediction using spatiotemporal modeling-Reference-Cited by-同舟云学术

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Power grid frequency prediction using spatiotemporal modeling

Published:2021-07-06 Issue:6 Volume:14 Page:662-675
ISSN:1932-1864
Container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal
language:en
Short-container-title:Stat Anal Data Min: The ASA Data Sci Journal

Author:

Lenzi Amanda¹^ORCID,Bessac Julie¹,Anitescu Mihai¹

Affiliation:

1. Mathematics and Computer Science Division Argonne National Laboratory Lemont Illinois USA

Funder

National Science Foundation

Energy Department

Publisher

Wiley

Subject

Computer Science Applications,Information Systems,Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sam.11535

Reference37 articles.

1. Power System Dynamic State Estimation With Synchronized Phasor Measurements

2. Measurement‐based correlation approach for power system dynamic response estimation

3. On the Optimality of Conditional Expectation as a Bregman Predictor

4. Hierarchical Modeling and Analysis for Spatial Data

5. Self-adaptation of service compositions through product line reconfiguration

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1. Application of an integrated RNN - ensemble method for the short-term forecast of inter-area oscillations modal parameters;Electric Power Systems Research;2023-12

2. Comparison of LSTM-Based Prediction Strategies for Grid Modal Parameters Forecast;2023 11th International Conference on Smart Grid (icSmartGrid);2023-06-04

3. Assessment of a Multi-Step LSTM-based Ensemble Strategy for Short-term Grid Modal Parameters Forecast;2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE);2023-04

4. How can statistics help to prevent blackouts?;Significance;2023-02-01

5. Frequency Response Mode Prediction of Power System After Large Disturbances Based on Deep Belief Neural Network;IEEE Access;2023

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