Solutions

Power Saving Advisor

It won't take much energy to save energy.

Power Saving Advisor

How to save energy in your network while maintaining a high-quality customer experience?

Network Operators face high and growing energy costs in their network infrastructures. They also need to align with green initiatives, as more and more customers want brands that are environmentally-conscious.
However, such initiatives should not cause a negative impact on the network quality delivered to clients.

Are you really maximizing your energy savings? Are customers getting impacted?

Are you really maximizing your energy savings? Are customers getting impacted?

Most operators activate vendors' energy-saving rules, which apply to two dimensions: place and time. However, these rules are rigid and not adaptable.

disadvantage

Many manual tasks are very time-consuming, and lead to inconsistency and inaccuracy.

disadvantage

Customer impact is not considered, and no automatic feedback mechanism exists.

Is it too risky to impact customer experience trying to save energy?

Is it too risky to impact customer experience trying to save energy?

Manual processing implies high probability of undesirable effects on the quality delivered to customers. Operators struggle to guarantee Quality of Service (QoS) with a manual process. A key question for operators is whether there is a continuous monitoring and decision-making process to adapt the impact on quality due to the energy saving functionality activation.

disadvantage

Many actions are manual and repetitive.

disadvantage

Low added value engineering time.

Wasting too much internal or external engineering effort?

Wasting too much internal or external engineering effort?

Working with vendors’ energy saving rules and trying to adapt dynamically in both dimensions is an extremely time-consuming process.

disadvantage

A plethora of activities are going on in the network at the same time.

disadvantage

It is difficult to keep a holistic view (performance & configuration) of the network.

Power Saving Advisor (PSA) uses AI to reduce your energy costs

Operators can achieve significant energy savings while maintaining a positive customer experience thanks to the Tupl AI/ML Platform, which utilizes near real-time data of the user experience and network traffic, resulting in a 10% reduction of their electricity bill.

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What benefits can you achieve with Power Saving Advisor?

25%

More Energy Savings

100%

Customer Experience

90%

Manual Effort Reduction

100%

Energy Process Control

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PSA benefits for Engineering Teams and the CFO

advantage

The Open Loop recommendation engine displays areas that can benefit from implementing Power Savings.

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The solution can also be used in Closed Loop operation once the processes are optimized.

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Energy savings can be clearly demonstrated to the CFO.

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PSA drives energy efficiency, bringing environmental benefits for all of us!

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Power Saving Advisor automatically generates a ticket every time an action needs to be implemented over a cell or site.

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A pre-trained Machine Learning model assigns the best solution to reduce the energy consumption while maintaining the user experience in every case.

Frequently Asked Questions

Below you will find answers to the most common questions about Power Saving Advisor.

How does Power Saving Advisor work?

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Power Saving Advisor (PSA) leverages Tupl’s MLOps capabilities together with Action Manager component to minimize time-to-action. It constantly computes energy consumption at multiple aggregation levels and tracks changes in the PSA configuration.

How does Tupl SaaS work?

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Power Saving Advisor SaaS is delivered in cloud service (e.g. AWS, Azure, etc.) and can also be deployed on-premises, in your private cloud or data center.

It is easy and quick to get started, fit for a faster procurement process, with a functional solution in operation within a week.

Monthly subscription. No strings attached. Stop at any time.

What type of actions does Power Saving Advisor address?

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PSA works at cell level, proposing the best action that maximizes power saving while preserving the user experience. In order to do so, PSA can activate, deactivate and fine-tune the parameters of the available power saving features of the radio vendors.

How accurate is the PSA Machine Learning Model?

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It typically depends on a combination of targeted radio vendors and their corresponding power saving features per technology. Previous implementations of PSA reached almost 98% accuracy.

What other systems can work with PSA?

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PSA works in conjunction with other systems within your company, such as Ticketing, SON, CM, or Work Order management systems. Just as any engineer would do.

Is PSA compatible with our Radio vendors and their power saving features?

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PSA implements a vendor-agnostic approach leveraged in Machine Learning models. Thus, PSA can be adapted to any combination of technologies and radio vendors.

My organization does not have data science skills. How steep is the learning curve for this solution?

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No coding skills or data modeling are required. Power Saving Advisor relies upon TuplOS, Tupl's AI engine, which is a set of utilities 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.

Get a demo of Power Saving Advisor today

Get started and request a demo to learn how Power Saving Advisor can help you.

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