Analysis and short-term predictions of non-technical loss of electric power based on mixed effects models-Reference-Cited by-同舟云学术

Analysis and short-term predictions of non-technical loss of electric power based on mixed effects models

Published:2020-09 Issue: Volume:71 Page:100804
ISSN:0038-0121
Container-title:Socio-Economic Planning Sciences
language:en
Short-container-title:Socio-Economic Planning Sciences

Author:

Simões Paulo Fernando Mahaz,Souza Reinaldo Castro,Calili Rodrigo Flora,Pessanha José Francisco Moreira

Funder

Brazilian National Regulator of Electric Energy

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Economics and Econometrics,Geography, Planning and Development

Reference34 articles.

1. A survey on advanced metering infrastructure;Mohassel;Electr Power Energy Syst,2014

2. Antmann P. Strategies to achieve sustainable improvements in operational performance of electricity distributing companies. World Bank; 2009 Work paper.

3. Non-technical loss analysis and prevention using smart meters;Ahmad;Renew Sustain Energy Rev,2017

4. Models for longitudinal data with random effects and ar(1) errors;Chi;J Amer Statist Assoc,1989

5. Longitudinal data analysis;Hedeker,2006

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