A Smart Home system using Artificial Intelligence and integration with Energy Storage and Microgeneration

The Smart Grids environments tend to bring more freedom and motivation to residential users become producer of electrical energy, however the increase of distributed generation systems can bring important concerns to utility companies, such as the electrical energy two-way flow. Demand response (DR) programs support the companies to provide better planning actions for the grid and encourage residential users to shift your behaviors of use residential loads. However it tends to be difficult to users make different actions along the day. Thinking about this, Smart Home systems can carry out intelligent DR actions automatically in order to reduce energy consumption of users. The present work aims to provide a system that applies artificial intelligence methods and concepts of Internet of Things to manage residential lighting loads and HVAC systems. Monitored residential environmental data, power generation and status of battery management system are used in the decision-making process.