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.
|Title of host publication||Proceedings of 7th International Conference on Intelligent System Applications to Power Systems|
|Number of pages||6|
|Publication status||Published - 2013|
|Event||17th International Conference on Intelligent Systems Application to Power Systems - Tokyo, Japan|
Duration: 1 Jul 2013 → 4 Jul 2013
|Conference||17th International Conference on Intelligent Systems Application to Power Systems|
|Period||01/07/2013 → 04/07/2013|