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Publications

Publications by HumanISE

2018

Customized normalization clustering methodology for consumers with heterogeneous characteristics

Authors
Ribeiro, C; Pinto, T; Vale, Z; Baptista, J;

Publication
ADCAIJ-ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL

Abstract
The increasing use and development of renewable energy sources and distributed generation, brought several changes to the power system operation. Electricity markets worldwide are complex and dynamic environments with very particular characteristics, resulting from their restructuring and evolution into regional and continental scales, along with the constant changes brought by the increasing necessity for an adequate integration of renewable energy sources. With the eminent implementation of micro grids and smart grids, new business models able to cope with the new opportunities are being developed. Virtual Power Players are a new type of player, which allows aggregating a diversity of entities, e.g. generation, storage, electric vehicles, and consumers, to facilitate their participation in the electricity markets and to provide a set of new services promoting generation and consumption efficiency, while improving players' benefits. This paper proposes a clustering methodology regarding the remuneration and tariff of VPP. It proposes a model to implement fair and strategic remuneration and tariff methodologies, using a clustering algorithm, applied to load values, submitted to different types of normalization process, which creates sub-groups of data according to their correlations. The clustering process is evaluated so that the number of data sub-groups that brings the most added value for the decision making process is found, according to the players characteristics. The proposed clustering methodology has been tested in a real distribution network with 30 bus, including residential and commercial consumers, photovoltaic generation and storage units.

2018

Iberian electricity market ontology to enable smart grid market simulation

Authors
Santos, G; Pinto, T; Praça, I; Vale, ZA;

Publication
Energy Inform.

Abstract

2018

Demonstration of Tools Control Center for Multi-agent Energy Systems Simulation

Authors
Teixeira, B; Silva, F; Pinto, T; Santos, G; Praça, I; Vale, ZA;

Publication
Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection - 16th International Conference, PAAMS 2018, Toledo, Spain, June 20-22, 2018, Proceedings

Abstract

2018

Multi-agent Systems Society for Power and Energy Systems Simulation

Authors
Santos, G; Pinto, T; Vale, ZA;

Publication
Multi-Agent-Based Simulation XIX - 19th International Workshop, MABS 2018, Stockholm, Sweden, July 14, 2018, Revised Selected Papers

Abstract

2018

Electricity Price Forecast for Futures Contracts with Artificial Neural Network and Spearman Data Correlation

Authors
Nascimento, J; Pinto, T; Vale, ZA;

Publication
Distributed Computing and Artificial Intelligence, 15th International Conference, DCAI 2018, Toledo, Spain, 20-22 June 2018, Special Sessions I.

Abstract

2018

UCB1 Based Reinforcement Learning Model for Adaptive Energy Management in Buildings

Authors
Andrade, R; Pinto, T; Praça, I; Vale, ZA;

Publication
Distributed Computing and Artificial Intelligence, 15th International Conference, DCAI 2018, Toledo, Spain, 20-22 June 2018, Special Sessions I.

Abstract

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