Contextual Intelligent Load Management Considering Real-Time Pricing in a Smart Grid Environment

Gomes, Luis; Fernandes, Filipe; Faria, Pedro; Vale, Zita; Ramos, Carlos; Morais, Hugo

http://hdl.handle.net/10400.22/5923

Use this identifier to reference this record.

Name:	Description:	Size:	Format:
COM_LGomes_2013_GECAD.pdf		1.19 MB	Adobe PDF	Download

Send Feedback

Authors

Abstract(s)

The use of demand response programs enables the adequate use of resources of small and medium players, bringing high benefits to the smart grid, and increasing its efficiency. One of the difficulties to proceed with this paradigm is the lack of intelligence in the management of small and medium size players. In order to make demand response programs a feasible solution, it is essential that small and medium players have an efficient energy management and a fair optimization mechanism to decrease the consumption without heavy loss of comfort, making it acceptable for the users. This paper addresses the application of real-time pricing in a house that uses an intelligent optimization module involving artificial neural networks.

Keywords

Artificial Neural Network Demand Response Load Management Multi-Agent Systems Real-Time Price

URI

http://hdl.handle.net/10400.22/5923

Publisher

IEEE

Collections

ISEP – GECAD – Comunicações em eventos científicos

Full item page