Suzan Oslin

Artificial intelligence (AI) is revolutionizing energy management by optimizing power usage, predicting demand, and autonomously controlling electrical systems. AI-driven solutions rely on vast amounts of data, sophisticated machine learning models, and complex computational frameworks to enhance efficiency. However, this approach comes with challenges, including high energy consumption for data processing, cybersecurity vulnerabilities, and reliance on continuously updated algorithms. In...

The rapid advancements in artificial intelligence (AI), big data analytics, and cryptocurrency mining have triggered an unprecedented surge in energy consumption. Data centers, the backbone of these technologies, now demand vast amounts of electricity to process, store, and secure data. According to the International Energy Agency (IEA), global electricity consumption from data centers is projected to double between 2022 and 2026, surpassing the annual energy use of entire nations like Japan....

For businesses consuming large amounts of electricity—manufacturing plants, data centers, hospitals, resorts, and large grocery chains—understanding power efficiency, reactive power, and power factor is critical. Power factor directly impacts energy costs, equipment performance, and sustainability. A poor power factor leads to higher utility bills, wasted energy, and premature equipment failure. This article explores the science behind power factor, the causes of inefficiency, and the best...