Title :
A cognitive approach to load balancing for Green Houses
Author :
Lugo-Cordero, Hector M. ; Fuentes-Rivera, Abigail ; Guha, Ratan K. ; Ortiz-Rivera, Eduardo I.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Central Florida, Orlando, FL, USA
Abstract :
In this paper the case study of a smart home powered by solar and wind energy is presented. The benefits of having a smart home that can control the amount of power needed, according to the context of the usage, are also shown. Simulation shows that with a good control of the load it might be possible to reduce the installation costs of the Green Energy System. Furthermore, to support the results, a load balancing algorithm is created based on the Knapsack problem. An economic analysis of the approach is also shown to demonstrate the viability of the project, and how can the intelligence in the home lower the cost.
Keywords :
building management systems; power generation control; resource allocation; smart power grids; solar power stations; wind power plants; Knapsack problem; cognitive approach; green energy system; green houses; installation cost reduction; load balancing algorithm; smart home; solar energy; wind energy; Equations; Green products; Home appliances; Load management; Smart homes; Solar energy; TV; Context Reasoning; Green Energy; Multi Objective Evolutionary Algorithms; Smart Home;
Conference_Titel :
Power and Energy Society General Meeting, 2011 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4577-1000-1
Electronic_ISBN :
1944-9925
DOI :
10.1109/PES.2011.6039432
