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Tiago Manuel Campelos Ferreira Pinto
AuthID:
R-000-T7J
Publications
Confirmed
To Validate
Document Source:
All
Document Type:
All Document Types
Proceedings Paper (269)
Article (75)
Book Chapter (6)
Editorial Material (4)
Data Paper (3)
Proceedings (3)
Review (3)
Article in Press (2)
Book (2)
Phd Thesis (1)
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:
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Confirmed Publications: 368
81
TITLE:
Trust model for a multi-agent based simulation of local energy markets
AUTHORS:
Andrade, R;
Pinto, T
;
Praça, I
;
PUBLISHED:
2020
,
SOURCE:
18th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2020
in
Communications in Computer and Information Science,
VOLUME:
1233 CCIS
INDEXED IN:
Scopus
CrossRef
:
2
IN MY:
ORCID
|
CIÊNCIAVITAE
82
TITLE:
y Adjacent Markets Influence Over Electricity Trading-Iberian Benchmark Study
Full Text
AUTHORS:
Morais, H
;
Pinto, T
;
Vale, Z
;
PUBLISHED:
2020
,
SOURCE:
ENERGIES,
VOLUME:
13,
ISSUE:
11
INDEXED IN:
Scopus
WOS
CrossRef
:
3
IN MY:
ORCID
|
CIÊNCIAVITAE
83
TITLE:
A Local Electricity Market Model for DSO Flexibility Trading
AUTHORS:
Faia, R;
Pinto, T
;
Vale, Z
; Corchado, JM;
PUBLISHED:
2019
,
SOURCE:
16th International Conference on the European Energy Market, EEM 2019
in
International Conference on the European Energy Market, EEM,
VOLUME:
2019-September
INDEXED IN:
Scopus
CrossRef
:
12
IN MY:
ORCID
|
CIÊNCIAVITAE
84
TITLE:
A Residential House Comparative Case Study Using Market Available Smart Plugs and EnAPlugs with Shared Knowledge
Full Text
AUTHORS:
Luis Gomes
;
Filipe Sousa
;
Tiago Pinto
;
Zita Vale
;
PUBLISHED:
2019
,
SOURCE:
ENERGIES,
VOLUME:
12,
ISSUE:
9
INDEXED IN:
Scopus
WOS
CrossRef
:
3
IN MY:
ORCID
|
CIÊNCIAVITAE
85
TITLE:
A Review of the Main Machine Learning Methods for Predicting Residential Energy Consumption
AUTHORS:
Alfonso Gonzalez-Briones; Guillermo Hernandez;
Tiago Pinto
;
Zita Vale
;
Juan M Corchado
;
PUBLISHED:
2019
,
SOURCE:
2019 16th International Conference on the European Energy Market (EEM)
INDEXED IN:
CrossRef
:
10
IN MY:
ORCID
|
CIÊNCIAVITAE
86
TITLE:
A Review of the main machine learning methods for predicting residential energy consumption
AUTHORS:
Gonzalez Briones, A; Hernandez, G;
Pinto, T
;
Vale, Z
;
Corchado, JM
;
PUBLISHED:
2019
,
SOURCE:
16th International Conference on the European Energy Market, EEM 2019
in
International Conference on the European Energy Market, EEM,
VOLUME:
2019-September
INDEXED IN:
Scopus
IN MY:
ORCID
|
CIÊNCIAVITAE
87
TITLE:
Adaptive entropy-based learning with dynamic artificial neural network
AUTHORS:
Pinto, T
; Morais, H; Corchado, JM;
PUBLISHED:
2019
,
SOURCE:
NEUROCOMPUTING,
VOLUME:
338
INDEXED IN:
Scopus
WOS
CrossRef
:
7
IN MY:
ORCID
88
TITLE:
Adaptive entropy-based learning with dynamic artificial neural network
AUTHORS:
Tiago Pinto
; Hugo Morais; Juan Manuel Corchado;
PUBLISHED:
2019
,
SOURCE:
Neurocomputing,
VOLUME:
338
INDEXED IN:
DBLP
IN MY:
ORCID
|
DBLP
89
TITLE:
AiD-EM: Adaptive Decision Support for Electricity Markets Negotiations
AUTHORS:
Tiago Pinto
;
Zita A Vale
;
PUBLISHED:
2019
,
SOURCE:
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019
INDEXED IN:
DBLP
CrossRef
:
10
IN MY:
ORCID
|
DBLP
90
TITLE:
AiD-EM: Adaptive Decision Support for Electricity Markets Negotiations
AUTHORS:
Pinto, Tiago
;
Vale, Zita
;
PUBLISHED:
2019
,
SOURCE:
28th International Joint Conference on Artificial Intelligence
in
PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE,
VOLUME:
2019-August
INDEXED IN:
Scopus
WOS
IN MY:
ORCID
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