Real ChatGPT answer · index seedaSfucAMRJ8QcompleteTelecom and utilities · energy efficiencyinformational
What is the average percentage of phantom load reduction achievable by implementing enterprise-grade smart power strips across a three-hundred-station corporate office layout?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What is the average percentage of phantom load reduction achievable by implementing enterprise-grade smart power strips across a three-hundred-station corporate office layout?
1 real search · 1 real-search pass
enterprise smart power strips phantom load energy savings percentage office plug loads study advanced power stripsGoogle ↗
OBSERVEDReason
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
enterprise smart power strips phantom load energy savings percentage office plug loads study advanced power strips Google ↗
- Advanced Power Strips for Plug Load Control · origin-www.gsa.gov
- Flexible Control Strategies for Plug Loads to Mitigate Electricity Waste and Support Demand Response - Advancing Savings Strategies for Plug Loads · energy.ca.gov
- Commercial Building Plug Load Energy Reduction Strategies (CLOSED) · mncee.org
- ACEEE Report · aceee.org
- A Tale of Two Tiers: Advanced Power Strips in Commercial Buildings · betterbuildingssolutioncenter.energy.gov