Application of game theory, fuzzy logic and neural networks for assessing risks and forecasting rates of digital currency

B Bebeshko, V Malyukov, M Lakhno… - … of Theoretical and …, 2022 - elibrary.kubg.edu.ua
In this scientific work is aimed to obtain mathematical tools for solving the problem of finding
optimal investment strategies in digital cryptocurrencies (hereinafter referred to as the CX) or …

Applications of game theory in project management: a structured review and analysis

M Piraveenan - Mathematics, 2019 - mdpi.com
This paper provides a structured literature review and analysis of using game theory to
model project management scenarios. We select and review thirty-two papers from Scopus …

Multi-agent-based CBR recommender system for intelligent energy management in buildings

T Pinto, R Faia, M Navarro-Caceres… - IEEE Systems …, 2018 - ieeexplore.ieee.org
This paper proposes a novel case-based reasoning (CBR) recommender system for
intelligent energy management in buildings. The proposed approach recommends the …

Agent-based retail competition and portfolio optimization in liberalized electricity markets: A study involving real-world consumers

H Algarvio, F Lopes - International Journal of Electrical Power & Energy …, 2022 - Elsevier
The liberalization of energy markets brought full competition to the electric power industry. In
the wholesale sector, producers and retailers submit bids to day-ahead markets, where …

Portfolio optimization of electricity markets participation using forecasting error in risk formulation

R Faia, T Pinto, Z Vale, JM Corchado - … Journal of Electrical Power & Energy …, 2021 - Elsevier
Recent changes in the energy sector are increasing the importance of portfolio optimization
for market participation. Although the portfolio optimization problem is most popular in …

Decision support for small players negotiations under a transactive energy framework

T Pinto, R Faia, MAF Ghazvini, J Soares… - … on Power Systems, 2018 - ieeexplore.ieee.org
This paper proposes a decision support model to optimize small players' negotiations in
multiple alternative/complementary market opportunities. The proposed model endows …

Reputation computational model to support electricity market players energy contracts negotiation

J Rodriguez-Fernandez, T Pinto, F Silva, I Praça… - … Conference on Practical …, 2018 - Springer
The negotiation is one of the most important phase of the process of buying and selling
energy in electricity markets. Buyers and sellers know about their own trading behavior or …

GEOCITY—A NEW DYNAMIC-SPATIAL MODEL OF URBAN ECOSYSTEM

Y Vyklyuk, D Nevinskyi, N Boyko - Journal of the Geographical Institute “ …, 2023 - ceeol.com
In this paper the initialization of the city is considered, which consists of several steps,
including the creation of city objects with their locations, creation of residents with their …

Semantic web services for multi-agent systems interoperability

A Canito, G Santos, JM Corchado, G Marreiros… - Progress in Artificial …, 2019 - Springer
Agent-based technologies are often used including existing web services. The outputs of
some services are also frequently used as inputs for other services, including other MAS …

Context aware q-learning-based model for decision support in the negotiation of energy contracts

J Rodriguez-Fernandez, T Pinto, F Silva, I Praça… - International Journal of …, 2019 - Elsevier
Automated negotiation plays a crucial role in the decision support for bilateral energy
transactions. In fact, an adequate analysis of past actions of opposing negotiators can …