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Tiago Manuel Campelos Ferreira Pinto
AuthID:
R-000-T7J
Publications
Confirmed
To Validate
Document Source:
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Document Type:
All Document Types
Proceedings Paper (267)
Article (72)
Data Paper (7)
Book Chapter (6)
Editorial Material (5)
Proceedings (3)
Review (3)
Book (3)
Phd Thesis (1)
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Results:
10
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Confirmed Publications: 367
131
TITLE:
Genetic Algorithms for Portfolio Optimization with Weighted Sum Approach
AUTHORS:
Faia, R;
Pinto, T
;
Vale, Z
; Corchado, JM; Soares, J; Lezama, F;
PUBLISHED:
2019
,
SOURCE:
8th IEEE Symposium Series on Computational Intelligence, SSCI 2018
in
Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018
INDEXED IN:
Scopus
CrossRef
:
7
IN MY:
ORCID
|
CIÊNCIAVITAE
132
TITLE:
Genetic fuzzy rule-based system using MOGUL learning methodology for energy consumption forecasting
AUTHORS:
Jozi, A;
Pinto, T
; Praca, I; Silva, F; Teixeira, B; Vale, Z;
PUBLISHED:
2019
,
SOURCE:
ADCAIJ-ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL,
VOLUME:
8,
ISSUE:
1
INDEXED IN:
Scopus
WOS
CrossRef
133
TITLE:
Hybrid approach based on particle swarm optimization for electricity markets participation
AUTHORS:
Ricardo Faia;
Tiago Pinto
;
Zita Vale
; Juan Manuel Corchado;
PUBLISHED:
2019
,
SOURCE:
Energy Informatics,
VOLUME:
2,
ISSUE:
1
INDEXED IN:
Scopus
CrossRef
:
13
Handle
IN MY:
ORCID
134
TITLE:
Hybrid approach based on particle swarm optimization for electricity markets participation
AUTHORS:
Ricardo Faia;
Tiago Pinto
; Zita A Vale; Juan Manuel Corchado;
PUBLISHED:
2019
,
SOURCE:
Energy Inform.,
VOLUME:
2,
ISSUE:
1
INDEXED IN:
DBLP
IN MY:
ORCID
|
DBLP
135
TITLE:
Identifying Most Probable Negotiation Scenario in Bilateral Contracts with Reinforcement Learning
AUTHORS:
Silva, F
;
Pinto, T
;
Praça, I
;
Vale, Z
;
PUBLISHED:
2019
,
SOURCE:
World Conference on Information Systems and Technologies, WorldCIST 2019
in
NEW KNOWLEDGE IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 1,
VOLUME:
930
INDEXED IN:
Scopus
WOS
CrossRef
IN MY:
ORCID
136
TITLE:
Identifying Most Probable Negotiation Scenario in Bilateral Contracts with Reinforcement Learning
AUTHORS:
Francisco Silva
;
Tiago Pinto
;
Isabel Praça
;
Zita A Vale
;
PUBLISHED:
2019
,
SOURCE:
New Knowledge in Information Systems and Technologies - Volume 1, World Conference on Information Systems and Technologies, WorldCIST 2019, Galicia, Spain, 16-19 April, 2019,
VOLUME:
930
INDEXED IN:
DBLP
IN MY:
ORCID
|
DBLP
137
TITLE:
Local Energy Markets: Paving the Path Toward Fully Transactive Energy Systems
AUTHORS:
Lezama, F;
Soares, J
; Hernandez Leal, P; Kaisers, M;
Pinto, T
;
Vale, Z
;
PUBLISHED:
2019
,
SOURCE:
IEEE TRANSACTIONS ON POWER SYSTEMS,
VOLUME:
34,
ISSUE:
5
INDEXED IN:
Scopus
WOS
CrossRef
:
261
IN MY:
ORCID
|
CIÊNCIAVITAE
138
TITLE:
Multi-agent Systems Society for Power and Energy Systems Simulation
AUTHORS:
Santos, Gabriel;
Pinto, Tiago
;
Vale, Zita
;
PUBLISHED:
2019
,
SOURCE:
19th International Workshop on Multi-Agent-Based Simulation (MABS)
in
MULTI-AGENT-BASED SIMULATION XIX,
VOLUME:
11463
INDEXED IN:
Scopus
WOS
CrossRef
:
2
IN MY:
ORCID
|
CIÊNCIAVITAE
139
TITLE:
Multi-Agent-Based CBR Recommender System for Intelligent Energy Management in Buildings
AUTHORS:
Pinto, T
; Faia, R; Navarro Caceres, M; Santos, G; Corchado, JM;
Vale, Z
;
PUBLISHED:
2019
,
SOURCE:
IEEE SYSTEMS JOURNAL,
VOLUME:
13,
ISSUE:
1
INDEXED IN:
Scopus
WOS
DBLP
CrossRef
:
44
IN MY:
ORCID
|
DBLP
|
CIÊNCIAVITAE
140
TITLE:
Practical Application of a Multi-Agent Systems Society for Energy Management and Control
AUTHORS:
Tiago Pinto
;
Gabriel Santos
;
Zita A Vale
;
PUBLISHED:
2019
,
SOURCE:
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS '19, Montreal, QC, Canada, May 13-17, 2019
INDEXED IN:
DBLP
IN MY:
ORCID
|
DBLP
|
CIÊNCIAVITAE
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