02 / Energy & Cost Optimization / Power Saving Advisor

Cut energy costs.
Maintain service quality.

Power Saving Advisor (PSA) pushes RAN vendors' Power-Saving Features (PSFs) beyond what the vendors themselves can deliver. It optimizes energy consumption at the cell level, across multiple vendors, while respecting the quality standards you set.

Energy Market Price — 24h
Market
AI Optimized
Live
00:00 06:00 12:00 18:00 23:59
Automation for Energy Efficiency
100%
Zero manual intervention
Closed-loop optimization active
Overview

Energy optimization at the cell level

PSA pushes RAN vendors' Power-Saving Features (PSFs) beyond what the vendors themselves can deliver. It optimizes energy consumption at the cell level, across multiple vendors, while respecting the quality standards you set.

Most operators already use their RAN vendors' PSFs, but those settings get applied uniformly across regions or clusters, leaving significant savings on the table. PSA optimizes per cell, adapting to actual traffic patterns and KPI thresholds, pushing energy savings 3x further without breaching your quality standards.

01
Optimize
PSF settings optimized down to a per-cell level, adapting to real-time traffic patterns on each cell for maximum savings.
02
Automate
Automatically monitors KPIs and energy consumption, proposing the best actions to maximize savings while eliminating manual intervention.
03
Protect
Recommends energy-saving actions that align with your network quality KPIs, without compromising performance.
04
Trace
Every energy-saving decision and action can be traced back to its context, making the system easy to validate and fully transparent.
3x
More Energy
Savings vs
Standard Solutions
100%
Quality Standard
Compliant
100%
Automation for
Energy Efficiency
100%
Energy Management
Transparency
How It Works

Key Capabilities

01 Optimize

Per-Cell Level
Actuation

Tupl PSA optimises PSF settings down to a per-cell level ensuring the maximum savings are achieved while simultaneously considering the traffic patterns on each cell.

Cell-Level PSF Configuration Active
Cell A1
Deep
Cell A2
Medium
Cell A3
Deep
Cell A4
Light
Cell B1
Medium
Cell B2
Deep
Cell B3
Light
Cell B4
Deep
Cells in Deep Sleep 68%
Cells in Medium Sleep 22%
Cells in Light Sleep 10%
Additional Savings vs Vendor +3x
Monthly kWh Reduced 18,420
CO₂ Offset (tons/yr) 247
Quality Impact Zero
Throughput Variance ±0.1%
Rollback Events 0
Per-Cell PSF Settings
Settings are typically applied uniformly across regions or clusters. PSA tailors configurations to each individual cell based on traffic patterns.
02 Automate

Closed
Loop

Automatically monitors KPIs and the evolution of network energy consumption, proposing the best actions to maximize energy savings while eliminating manual intervention.

Closed-Loop Energy Pipeline
Analyze traffic patterns · 14,291 cells monitored
Scanning
Compute optimal PSF config · Cluster NW-7
Computing
PSF applied · 2,847 kWh saved · KPIs nominal
Active
Daily Energy Savings Trend
Mon
Tue
Wed
Thu
Fri
Sat
Sun
3x
More savings
vs vendor
Energy Savings Trend
Monitors KPIs and evolution of network energy consumption, proposing the best actions to maximize energy savings.
03 Protect

Respecting Quality Standards

Recommend energy-savings actions that align with the client's network quality KPIs, ensuring performance is never compromised.

Quality Guard Dashboard
Throughput KPI: Nominal
Drop Rate: 0.02%
Accessibility: 99.8%
CX Score: Excellent
All KPIs within quality thresholds. PSF optimization running at maximum efficiency — zero subscriber impact detected.
Throughput Protection
100%
Subscriber Impact
Zero
KPI Compliance
99.8%
Quality-First Guarantee
Energy savings are only applied when all quality KPIs remain within defined thresholds, ensuring zero subscriber impact.
04 Trace

White Box
Transparency

Every energy-saving decision and action can be traced back to the context of the decision, making the system easy to validate and fully transparent.

Decision Audit Trail
Context Analyzed
Cell B3 · Traffic below 12% threshold · 02:14 UTC
Decision Made
Apply Deep Sleep PSF · Confidence 97.2% · Est. saving 4.1 kWh
Action Verified
PSF active · KPIs nominal · Fully traceable
Decision Traceability
100%
White-Box Explainability
Full
Vendor Lock-In
Zero
Full Explainability
No black-box algorithms — every recommendation is explainable, auditable, and vendor-independent.
Case Studies

Proven results with leading operators

Power Saving Gains from PSFs
Case Study 01
Using Tupl to Increase Power Saving Gains from PSFs
A Tier-1 telecom operator in Europe aiming to maximize energy efficiency across its RAN infrastructure by internalizing power-saving operations and scaling them intelligently across a multi-vendor network—without compromising network quality or customer experience.
Read more
Internalizing Power Savings Management
Case Study 02
Internalizing multi-vendor Power Savings Management
A Tier-1 telecom operator in Europe aiming to take full control of energy efficiency initiatives by internalizing power-saving operations across a multi-vendor RAN environment—eliminating vendor lock-in and maximizing both performance and cost savings.
Read more
Smart Network Optimization
Case Study 03
Smart Network Optimization for Cost-Efficient Resource Management
A US Tier-1 telecom operator seeking to boost network performance, reduce operational costs, and improve customer experience by focusing engineers on the issues that matter most.
Read more
FAQ

Power Saving Advisor FAQ

Power Saving Advisor (PSA) is an AI-powered solution that automates energy optimization. It continuously monitors energy usage across multiple levels, detects savings opportunities, and applies actions without impacting service quality.

PSA adapts to configuration changes, tracks results, and supports sustainability through measurable energy savings.

Tupl solutions are delivered as a cloud service (supported by the main cloud providers e.g. AWS, GCP, Azure, etc.). Our SaaS licensing model significantly reduces the upfront cost of purchasing the system. We can also deploy on-premises, in your private cloud or data center.
Apart from above introduced use cases, one key design principle of our solutions is flexibility, so as long as the proper data sources are integrated, any root cause that is relevant to you can be addressed.
No coding skills or database modelling are required. This solution relies upon TuplOS, which is a platform designed to synthesize and digitize the complex knowledge base from your engineers and free them to focus on putting their expertise to work. Tupl can guide you through the process via a coaching and training program from our services team.
Tupl solutions are conceived to work in conjunction with other systems within your company, such as Ticketing, SON, CM, or Work Order management systems. Just as any engineer would do.
Get Started

Ready to transform your network energy strategy?