Information Length Quantification and Forecasting of Power Systems Kinetic Energy-Reference-Cited by-同舟云学术

Information Length Quantification and Forecasting of Power Systems Kinetic Energy

Author:

Chamorro Harold R.¹^ORCID,Guel-Cortez Adrian-Josue²^ORCID,Kim Eun-jin²^ORCID,Gonzalez-Longatt Francisco³,Ortega Alvaro⁴,Martinez Wilmar⁵

Affiliation:

1. KU Leuven, Katholieke Universiteit Leuven, Leuven, Belgium

2. Faculty Research Centre in Fluid and Complex Systems, Coventry University, Coventry, U.K.

3. University of South-Eastern Norway, Porsgrunn, Norway

4. Institute for Research in Technology, ICAI, Comillas Pontifical University, Madrid, Spain

5. Department of Electrical Engineering (ESAT), KU Leuven, Diepenbeek, Belgium

Funder

Leverhulme Trust Research Fellowship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

Reference61 articles.

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