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Ricardo Jorge Gomes de Sousa Bento Bessa
AuthID:
R-000-SC6
Publications
Confirmed
To Validate
Document Source:
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Document Type:
All Document Types
Proceedings Paper (77)
Article (65)
Review (7)
Book Chapter (6)
Unpublished (2)
Editorial Material (2)
Article in Press (2)
Year Start - End:
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Order:
Year Dsc
Year Asc
Cit. WOS Dsc
IF WOS Dsc
Cit. Scopus Dsc
IF Scopus Dsc
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Results:
10
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Confirmed Publications: 161
81
TITLE:
LV state estimation and TSO–DSO cooperation tools: results of the French field tests in the evolvDSO project
AUTHORS:
Maria Viania Sebastian; Mathieu Caujolle; Belén Goncer Maraver;
Jorge Pereira
; Jean Sumaili;
Pedro Barbeiro
;
João Silva
;
Ricardo Bessa
;
PUBLISHED:
2017
,
SOURCE:
CIRED - Open Access Proceedings Journal,
VOLUME:
2017,
ISSUE:
1
INDEXED IN:
CrossRef
:
3
IN MY:
ORCID
82
TITLE:
Predictive management of low-voltage grids
AUTHORS:
Marisa Reis
; André Garcia;
Ricardo Bessa
; Luís Seca;
Clara Gouveia
; Jorge Moreira; Pedro Nunes; Pedro G Matos; Fernando Carvalho;
Pedro Carvalho
;
PUBLISHED:
2017
,
SOURCE:
CIRED - Open Access Proceedings Journal,
VOLUME:
2017,
ISSUE:
1
INDEXED IN:
CrossRef
:
1
IN MY:
ORCID
83
TITLE:
A Scalable Load Forecasting System for Low Voltage Grids
AUTHORS:
Marisa Reis
;
Andre Garcia
;
Ricardo J Bessa
;
PUBLISHED:
2017
,
SOURCE:
IEEE Manchester PowerTech
in
2017 IEEE MANCHESTER POWERTECH
INDEXED IN:
Scopus
WOS
CrossRef
:
5
IN MY:
ORCID
84
TITLE:
Forecasting and setting power system operating reserves
AUTHORS:
Matos, M
;
Bessa, R
;
Botterud, A
; Zhou, Z;
PUBLISHED:
2017
,
SOURCE:
Renewable Energy Forecasting: From Models to Applications
INDEXED IN:
Scopus
CrossRef
:
11
IN MY:
ORCID
85
TITLE:
Future Trends for Big Data Application in Power Systems
AUTHORS:
Bessa, RJ
;
PUBLISHED:
2017
,
SOURCE:
Big Data Application in Power Systems
INDEXED IN:
Scopus
CrossRef
:
12
IN MY:
ORCID
86
TITLE:
Improving Renewable Energy Forecasting With a Grid of Numerical Weather Predictions
Full Text
AUTHORS:
Jose R Andrade
;
Ricardo J Bessa
;
PUBLISHED:
2017
,
SOURCE:
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY,
VOLUME:
8,
ISSUE:
4
INDEXED IN:
WOS
CrossRef
:
202
IN MY:
ORCID
87
TITLE:
LASSO vector autoregression structures for very short-term wind power forecasting. LASSO vector autoregression structures for very short-term wind power forecasting
Full Text
AUTHORS:
Laura Cavalcante
;
Ricardo J Bessa
;
Marisa Reis
; Jethro Browell;
PUBLISHED:
2017
,
SOURCE:
WIND ENERGY,
VOLUME:
20,
ISSUE:
4
INDEXED IN:
Scopus
WOS
CrossRef
:
68
IN MY:
ORCID
88
TITLE:
MicroGrid Energy Balance Management for Emergency Operation
AUTHORS:
Gouveia, J
;
Gouveia, C
;
Rodrigues, J
;
Bessa, R
;
Madureira, AG
;
Rui Pinto
;
Moreira, CL
;
Pecas A P Lopes
;
PUBLISHED:
2017
,
SOURCE:
IEEE Manchester PowerTech
in
2017 IEEE MANCHESTER POWERTECH
INDEXED IN:
Scopus
WOS
CrossRef
:
4
IN MY:
ORCID
89
TITLE:
Multi-period flexibility forecast for low voltage prosumers
Full Text
AUTHORS:
Rui Pinto
;
Ricardo J Bessa
;
Manuel A Matos
;
PUBLISHED:
2017
,
SOURCE:
ENERGY,
VOLUME:
141
INDEXED IN:
Scopus
WOS
CrossRef
:
29
IN MY:
ORCID
90
TITLE:
Multi-Period Modeling of Behind-the-Meter Flexibility
AUTHORS:
Rui Pinto
;
Manuel A Matos
;
Ricardo J Bessa
;
Jose Gouveia
;
Clara Gouveia
;
PUBLISHED:
2017
,
SOURCE:
IEEE Manchester PowerTech
in
2017 IEEE MANCHESTER POWERTECH
INDEXED IN:
Scopus
WOS
CrossRef
:
6
IN MY:
ORCID
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