NTT and DOCOMO begin trial linking AI network load shifts with energy controls
NTT DOCOMO and NTT began a demonstration on 20 October combining AI-guided shifts of radio-base-station processing loads with controls for solar power and batteries. The Japan-based test covers normal demand, electricity shortages and outages.
Event / data period: 2026-10-20
Published: · Updated:
DOCOMO will manage batteries through its energy-management platform, while NTT controls communications workloads in a virtual radio-access-network environment. The companies will assess how telecom and power equipment can be coordinated.
The trial is planned to run through 31 December 2026. The announcement reports no measured energy savings or proven increase in service duration during outages; those are outcomes the demonstration will evaluate.
Data
Announced development
Scope of the development stated in the official announcement.
- · Occurred
Demonstration began
Demonstration announced as beginning on 20 October 2026.
Methodology
Event and scope details are transcribed from the primary announcement; plans are not presented as completed results.
Updated:
Subjects and places
Subject proposals
- Solar powerSuggested
- Subject suggested from the title or summary: solargroup.ntt ↗
- ElectricitySuggested
- Subject suggested from the title or summary: electricitygroup.ntt ↗
- Artificial intelligenceSuggested
- Subject suggested from the title or summary: AIgroup.ntt ↗
Geographic references
Only source-provided geographic references are shown. Opening an external map is optional. Optional story maps use OpenStreetMap. Opening a map sends your IP address and this site’s address to the map provider; location data remains readable as text without loading the map.
- Japan · Place role: Coverage · Place type: Country or area · Location precision: RegionalEvidence
- Explicit preserved editorial country/region; no city or national centroid inferredgroup.ntt ↗