The Energy Systems Integration Group (ESIG) has released a report examining how utilities and planners forecast long-term electricity demand and distributed energy resources (DERs) in an era of rapid ...

The landscape of demand forecasting, data science and machine learning is rapidly evolving, as companies seek innovative approaches to handle the intricate intersection between technology and consumer ...

Dr Yves R. Sagaert emphasizes the importance of organizations shifting away from traditional static budgeting, which relies ...

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

Launching a new product in today’s market isn’t just risky; it’s like setting sail into uncharted waters during a storm, with no compass and relying solely on your instincts to guide you. Throughout ...

What if you could predict the future—not just in abstract terms, but with actionable precision? From forecasting energy demand to anticipating retail trends, the ability to make accurate predictions ...

The intermittent nature of solar energy poses challenges to grid stability, making accurate ultra-short-term solar irradiance ...