Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
Fuzzy control of an ANFIS model representing a nonlinear liquid-level system
Neural Computing and Applications
Inferring operating rules for reservoir operations using fuzzy regression and ANFIS
Fuzzy Sets and Systems
Distributed monitoring and control of office buildings by embedded agents
Information Sciences: an International Journal
Minimizing Energy Consumption in Heating Systems under Uncertainty
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
A fuzzy logic based efficient energy saving approach for domestic heating systems
Integrated Computer-Aided Engineering
A Thermodynamical Model Study for an Energy Saving Algorithm
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
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It is well known that global sustainability must begin with human actions. A reduction of the consumed energy in the heating systems is one of such possible actions. The higher the society prosperity the higher the required houses comfort, and the higher amount of energy. In Spain it is especially important as the construction rate is almost the half of that in Europe. To save energy is urgent, which means that the energy losses must be reduced. In this paper, a multi agent system solution for the reduction of the energy consumption in heating systems of houses is presented. A control central unit (CCU) responsible of minimising the energy consumption interacts with the heaters. The CCU includes a Fuzzy Model (FM) and a Fuzzy controller (FC) and makes use of the concept of energy balance to distribute the energy between the heaters. Results show the proposed system as a very promising solution for energy saving and comfort tracking in houses. This solution is the preliminary study to be included in a heating system product of a local company.