: This framework protects deep neural networks against malicious "adversarial samples" by characterizing the geometry of input data to detect perturbations.
: A study focusing on California's grid, highlighting how solar and wind curtailment rates vary seasonally, often peaking in spring when generation is high but demand is low. curtail
In the field of power systems, curtailment is the reduction of output from wind or solar generators to below what they could otherwise produce. This is typically done to maintain grid stability or relieve transmission congestion. : This framework protects deep neural networks against
The term is frequently used in research regarding the restriction of disease or social issues. This is typically done to maintain grid stability
: A top-down approach for scheduling tasks in datacenters to meet "tail latency" objectives, ensuring system response times remain within guaranteed limits.
: Research from ScienceDirect suggests that overbuilding solar capacity and then curtailing it can actually be a cost-effective way to ensure firm power delivery.
: Research presented on ACM Digital Library detailing techniques like adaptive timeouts and shared queues to reduce delays in systems like Apache Storm. 3. Public Health & Policy