Smart Buildings are structures equipped with intelligent systems, including sensors and actuators for automated building equipment management. These buildings also feature intra-building communication networks. Smart Buildings aim to:
A Smart City is an ecosystem where every element integrates into a Smart Grid network. Interconnecting various networks within a city optimizes costs, organization, and resident well-being. The goal is for data collection and usage to benefit citizens, aiding in anticipatory city development.
A Smart Grid refers to an intelligent electrical network that incorporates features derived from new information and communication technologies. Smart Grids provide producers, distributors, and consumers with insights and optimization of the electrical network. These smart networks communicate with each other, facilitating data exchange among various system stakeholders. The ultimate goals are to understand, manage, and control the network.
IoT, or Internet of Things, refers to connected objects capable of emitting data through sensors. For instance, modern cars equipped with sensors that alert drivers about low tire pressure are a prime example. The value of IoT lies in the interconnection of these objects to provide value and solutions through the collected data.
Machine Learning is a subset of Artificial Intelligence that incorporates learning systems. It allows computers to learn without explicit programming. Machine Learning leverages Big Data to make predictions based on data.