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ADAPT

Adaptive Decision support for Agents negotiation in electricity market and smart grid Power Transactions

Total Cost €

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EC-Contrib. €

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Partnership

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Project "ADAPT" data sheet

The following table provides information about the project.

Coordinator
UNIVERSIDAD DE SALAMANCA 

Organization address
address: CALLE PATIO DE ESCUELAS 1
city: SALAMANCA
postcode: 37008
website: www.usal.es

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Project website https://adapt.usal.es/
 Total cost 170˙121 €
 EC max contribution 170˙121 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2015
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2017
 Duration (year-month-day) from 2017-01-01   to  2018-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSIDAD DE SALAMANCA ES (SALAMANCA) coordinator 170˙121.00

Map

 Project objective

ADAPT explores the theme of decision support for agents negotiations in the complementary environments of electricity markets and smart grids. The EU priority of increasing the penetration of renewable energy sources in the power system has led to the wide acceptance of the smart grid paradigm as the solution for several emerging challenges. Another EU priority is the creation of a Pan-European Energy Market. A relevant step was taken in 2015 with the coupling of several regional European markets. Despite the significant investments in the fields of smart grids and electricity markets, the two fronts are evolving quite independently from each other, evidencing the sector difficulties in profiting from the strong relationships among them. A relevant drawback is the lack of decision support solutions to enable involved players improving their outcomes from energy transactions. ADAPT tackles this gap by proposing a multi-agent decision support system to assist the negotiation process of smart grid and electricity market players. ADAPT is composed by: (i) a portfolio optimization that identifies the most gainful negotiation opportunities, considering the available markets, including negotiations at a smart grid level; and (ii) a decision support method for actual negotiations using novel machine learning approaches to choose the most suitable strategies for each context, considering opponents’ negotiation profiles. ADAPT’s quality and industry-driven nature is assured by the experience and complementary expertise of the candidate and host in the targeted fields, and is further enhanced by the participation of experts in the fields of artificial intelligence and power systems. Besides advancing in the multidisciplinary research fields, ADAPT is expected to impact the EU power sector, the industry and society as a whole, by contributing to the effective integration of smart grids in a market environment, and to the decrease of electricity prices through competitiveness.

 Publications

year authors and title journal last update
List of publications.
2017 Ricardo Faia, Tiago Pinto, Omid Abrishambaf, Filipe Fernandes, Zita Vale, Juan Manuel Corchado
Case based reasoning with expert system and swarm intelligence to determine energy reduction in buildings energy management
published pages: 269-281, ISSN: 0378-7788, DOI: 10.1016/j.enbuild.2017.09.020
Energy and Buildings 155 2019-07-26
2018 Ricardo Faia, Tiago Pinto, Zita Vale, Juan Manuel Corchado
Strategic Particle Swarm Inertia Selection for Electricity Markets Participation Portfolio Optimization
published pages: 745-767, ISSN: 0883-9514, DOI: 10.1080/08839514.2018.1506971
Applied Artificial Intelligence 32/7-8 2019-07-26
2018 João Soares, Tiago Pinto, Fernando Lezama, Hugo Morais
Survey on Complex Optimization and Simulation for the New Power Systems Paradigm
published pages: 1-32, ISSN: 1076-2787, DOI: 10.1155/2018/2340628
Complexity 2018 2019-07-26
2018 João Soares, Fernando Lezama, Tiago Pinto, Hugo Morais
Complex Optimization and Simulation in Power Systems
published pages: 1-3, ISSN: 1076-2787, DOI: 10.1155/2018/6562876
Complexity 2018 2019-07-26
2017 Amin Gazafroudi, Francisco Prieto-Castrillo, Tiago Pinto, Javier Prieto, Juan Corchado, Javier Bajo
Energy Flexibility Management Based on Predictive Dispatch Model of Domestic Energy Management System
published pages: 1397, ISSN: 1996-1073, DOI: 10.3390/en10091397
Energies 10/9 2019-07-26
2017 Ricardo Faia, Tiago Pinto, Zita Vale, Juan Corchado
An Ad-Hoc Initial Solution Heuristic for Metaheuristic Optimization of Energy Market Participation Portfolios
published pages: 883, ISSN: 1996-1073, DOI: 10.3390/en10070883
Energies 10/7 2019-07-26
2019 Amin Shokri Gazafroudi, João Soares, Mohammad Ali Fotouhi Ghazvini, Tiago Pinto, Zita Vale, Juan Manuel Corchado
Stochastic interval-based optimal offering model for residential energy management systems by household owners
published pages: 201-219, ISSN: 0142-0615, DOI: 10.1016/j.ijepes.2018.08.019
International Journal of Electrical Power & Energy Systems 105 2019-07-26
2019 Tiago Pinto, Hugo Morais, Juan Manuel Corchado
Adaptive entropy-based learning with dynamic artificial neural network
published pages: , ISSN: 0925-2312, DOI: 10.1016/j.neucom.2018.09.092
Neurocomputing 2019-07-26
2019 Tiago Pinto, Ricardo Faia, Maria Navarro-Caceres, Gabriel Santos, Juan Manuel Corchado, Zita Vale
Multi-Agent-Based CBR Recommender System for Intelligent Energy Management in Buildings
published pages: 1084-1095, ISSN: 1932-8184, DOI: 10.1109/JSYST.2018.2876933
IEEE Systems Journal 13/1 2019-07-26
2018 Fernando Lezama, Joao Soares, Pablo Hernandez-Leal, Michael Kaisers, Tiago Pinto, Zita Maria Almeida do Vale
Local Energy Markets: Paving the Path Towards Fully Transactive Energy Systems
published pages: 1-1, ISSN: 0885-8950, DOI: 10.1109/TPWRS.2018.2833959
IEEE Transactions on Power Systems 16 July 2018 2019-07-26
2017 Tiago PINTO, Luis MARQUES, Tiago M SOUSA, Isabel PRAÇA, Zita VALE, Samuel L ABREU
Data-Mining-based filtering to support Solar Forecasting Methodologies
published pages: 85, ISSN: 2255-2863, DOI: 10.14201/ADCAIJ20176385102
ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 6/3 2019-07-26
2019 J. Rodriguez-Fernandez, T. Pinto, F. Silva, I. Praça, Z. Vale, J.M. Corchado
Context aware Q-Learning-based model for decision support in the negotiation of energy contracts
published pages: 489-501, ISSN: 0142-0615, DOI: 10.1016/j.ijepes.2018.06.050
International Journal of Electrical Power & Energy Systems 104 2019-07-26
2018 Tiago Pinto, Ricardo Faia, Mohammad Ali Fotouhi Ghazvini, Joao Soares, Juan Manuel Corchado, Zita Maria Almeida do Vale
Decision support for small players negotiations under a transactive energy framework
published pages: 1-1, ISSN: 0885-8950, DOI: 10.1109/TPWRS.2018.2861325
IEEE Transactions on Power Systems 2019-07-26
2018 Gabriel Santos, Tiago Pinto, Zita Vale
Multi-Agent Systems Society for Power and Energy Systems Simulation
published pages: , ISSN: , DOI:
AAMAS 2018 (International Conference on Autonomous Agents and Multiagent Systems), workshop on Multi-Agent Based Systems July 10-15, 2018 2019-07-26
2018 Tiago Pinto, Mohammad Fotouhi Ghazvini, Joao Soares, Ricardo Faia, Juan Corchado, Rui Castro, Zita Vale
Decision Support for Negotiations among Microgrids Using a Multiagent Architecture
published pages: 2526, ISSN: 1996-1073, DOI: 10.3390/en11102526
Energies 11/10 2019-07-26
2017 Ricardo Faia, Tiago Pinto, Tiago Sousa, Zita Vale, Juan Manuel Corchado
Automatic Selection of Optimization Algorithms for Energy Resource Scheduling using a Case-Based Reasoning System
published pages: , ISSN: , DOI:
ICCBR 2017 – 25th International Conference on Case-Based Reasoning 2019-07-26

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