    @article {rubiorecommender17,
	title = {Recommender System for Privacy-Preserving Solutions in Smart Metering},
	journal = {Pervasive and Mobile Computing},
	volume = {41},
	year = {2017},
	month = {10/2017},
	pages = {205-218},
	publisher = {Pervasive and Mobile Computing},
	abstract = {<p>Nowadays, Smart Grid is envisaged to provide several benefits to both customers and grid operators. However, Smart Meters introduce many privacy issues if consumption data is analysed. In this paper we analyse the main techniques that address privacy when collecting electricity readings. In addition to privacy, it is equally important to preserve efficiency to carry on with monitoring operations, so further control requirements and communication protocols are also studied. Our aim is to provide guidance to installers who intend to integrate such mechanisms on the grid, presenting an expert system to recommend an appropriate deployment strategy.</p>
},
	issn = {1574-1192},
	author = {Juan E. Rubio and Cristina Alcaraz and Javier Lopez}
}
