The technology helps improve the predictability of equipment. Predictive maintenance powered by artificial intelligence (AI) ...

Opportunities in the market arise from advancements in making fossil fuel energy cleaner and more efficient. Key trends ...

Artificial Intelligence (AI) is rapidly reshaping how we live, work, and learn. From voice assistants and recommendation engines to generative chatbots and self-driving vehicles, AI is now a core part ...

Digital power converters use microcontrollers ... automation to smart homes and IoT devices, digital power systems enable ...

Forecasting electricity demand in buildings is now more accurate with Group Encoding (GE), a new method that uses only ...

How can machine learning improve the performance of renewable energy systems? The review outlines that ML technologies are already optimizing key domains, energy forecasting, smart grid control, and ...

However, under the “Smart Grid” banner popularized in the early 2000s, an increased focus on addressing some of the technology and adoption hurdles began to be addressed head-on.

The approach was further enhanced by utilizing machine learning (ML) classification techniques, including k-nearest neighbor, random forest, support vector classifier, and multilayer perceptron. The ...

The review introduces a proposed two-layer reinforcement learning framework for distributed smart grid control. In this architecture, upper-layer agents manage long-term global optimization tasks, ...

When it comes to simple ways to drastically improve efficiency, it is tough to beat a smart system that has integrated machine learning. Capable of improving even older appliances with no ...