Informatics Solutions for Prosumers connected to Smart Grids

Abstract

This paper gives a brief overview about electricity consumption optimization based on consumption profiles of electricity prosumers that are connected to smart grids. The main object of this approach is identification of informatics solutions for electricity consumption optimization in order to decrease electricity bill. In this way, larger scale integration of renewable energy sources is allowed therefore entire society will gain benefits. This paper describes the main objectives of such informatics system and stages for its implementation. The system will analyze the specific profile and behavior of each electricity consumer or prosumer, automatically assist him to make right decisions and offer optimal advice for usage of controllable and non-controllable appliances. It will serve, based on big data transfer from electricity consumers or prosumers, as a powerful tool for grid operators that will be able to better plan their resources.

Keywords

• cloud database
• cloud solutions
• NoSQL databases
• weaknesses
• key-value databases
• Riak
• columnar databases
• Hbase
• document-oriented databases
• MongoDB
• graph databases
• Neo4j
• cloud services
• smart metering
• advanced tariffs system
• big data
• electricity consumption optimization
• prosumer
• renewable energy sources