AI workloads are pushing traditional datacentre management to its limits. Modern DCIM is now essential, using predictive ...

Abstract: This paper investigates the issue of event-triggered distributed model predictive control for coupled nonlinear systems with additive disturbances. Specifically, this paper proposes two ...

Abstract: In this work, we propose a hierarchical distributed model predictive control strategy to operate interconnected microgrids (MGs) with the goal of increasing the overall infeed of renewable ...

Utilities and power generation companies are bolstering operational efficiency and plant reliability by implementing advanced ...

Data center load shifting is an effective demand flexibility strategy to minimize peak demand for data centers through aggregate conservation. Last November, CNBC reported that data centers alone are ...

The current delivery environment is fragmented and dynamic. In this environment, the industry needs to shift its focus from trying to optimize a stable system to instead operate effectively within an ...

Buildings may be getting smarter, but too many control rooms are still anchored to yesterday’s technology, such as on‑site ...

Your data science teams want Kubeflow for its pipeline orchestration, metadata tracking, and training operators, so you build ...

Organizations that embrace adaptive risk management, quantum preparedness, AI governance, and resilience-by-design will be able to succeed in the Acceleration Era.

Do you know how robotic telesurgery works? Read on to find out how healthcare is changing with new tech interventions that even allows a surgeon to operate on you even from a different country.

Image courtesy by QUE.com In the current economic landscape, Business is no longer just about the exchange of goods and ...