Smart Home Energy Saving with Big Data and Machine Learning

In this article, we will consider ways to reduce your electricity bill without you having to do anything. This is achieved through the use of an on-site storage array that conserves low-cost energy for use when costs are high, and an intelligent charging system called SmartCharge. Masu. The algorithms used in SmartCharge determine when your home's power needs to be transferred between the grid and the battery array, saving you energy costs. This program uses predictive models that you create to predict future demand using statistical machine learning techniques. We evaluate SmartCharge in simulations using real household data to measure its ability to minimize charges under a variety of conditions. Currently, savings are typically 10% to 15%, but you can expect your savings to increase linearly as electricity prices rise. He also found that only 22% of the 465 apartments had SmartCharge installed, resulting in a 20% increase in overall peak demand. Finally, find out how much it costs to configure and set up SmartCharge. We estimate that with advances in batteries and expected increases in electricity prices, the typical home could pay for itself over the next few years.