Which of the following is a benefit of using AI to predict demand patterns in CPS Nodes?

Using AI to predict demand patterns in CPS (Cyber-Physical Systems) Nodes offers the significant benefit of informed decision-making for energy resource management. By accurately forecasting demand, energy providers can optimize the allocation of resources, ensure that they meet energy requirements efficiently, and minimize unnecessary expenditures. This proactive approach allows for better planning, reduces the likelihood of shortages during peak demand, and can lead to a more sustainable energy system by balancing generation and consumption effectively.

Informed decision-making stems from data-driven insights, which enable stakeholders to adjust their strategies based on anticipated changes in demand. This can result in a more stable energy supply, reduced costs, and improved reliability, contributing to the overall efficiency of energy systems.

Other potential outcomes of utilizing AI, such as increased energy wastage, higher operational costs, and inconsistent energy supply, would not occur when demand is accurately predicted and managed effectively. In fact, the use of AI is intended to counteract these negative impacts by streamlining operations and providing real-time adjustments to energy distribution. The focus on benefiting energy resource management through informed choices is at the core of employing AI in CPS nodes.