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Energy Savings
Proactive Monitoring

Tailored energy-saving analysis and proactive monitoring for bank office portfolios.

Take Control

Energy Savings Proactive Monitoring helps banks optimize energy usage through data-driven decisions, leveraging smart meter data with tailored AI solutions.

Unlike traditional methods that use smart meter data only for compliance and reporting, we unlock its full potential to deliver meaningful savings and performance gains.

Jan Široký

CEO

The difficulties banks face

Overseeing electricity usage throughout large building portfolios

  • Decisions are guided not by data, but by intuition
  • Limited transparency in consumption
  • Insufficient capacity of qualified analysts
  • Unable to promptly detect anomalies
  • Unnecessary costs for unrecognized savings
  • Lack of a digital tool for optimizing consumption
  • Budgeting is a time-intensive process susceptible to human error

How We Address these Challenges

Tailor-made
AI Tools

Our AI tools analyze smart meter data to detect anomalies, uncover inefficiencies, and provide a clear overview of energy use. Automated and scalable, they enable fast, data-driven decisions.

Expert Monitoring
 

Energy Twin energy experts
continuously monitor results
and collaborate with
managers and technicians
to interpret data and resolve
issues quickly and
effectively.

Proactive Solutions

Our team goes beyond
monitoring by proactively
analyzing the results and
proposing tailored solutions to
specific challenges, ensuring
we achieve the best possible
outcomes.

Use Cases

Portfolio Analysis

Problem

Client managed 53 buildings but lacked a data-driven approach to prioritize energy savings.

Solution

We analyzed their portfolio using CSV meter data, uncovering operational issues and pinpointing buildings with the highest savings potential.

Simplified Budgeting

Problem

Client needed to prepare quarterly budgets for 40+ branches without manual data handling.

Solution

We automated data processing and provided scalable estimates, streamlining the budgeting process

Building Performance Verification

Problem

Client wanted to confirm if a newlybuilt/reconstructed building was operating efficiently

Solution

We generated a report within minutes, identifying potential energy savings and validating performance.

Anomaly Detection

Problem

Client was managing 80 buildings and needed to detect operational inefficiencies in real-time, beyond traditional billing analysis.

Solution

We developed anomaly detection rules using our models, enabling real-time monitoring of inefficiencies and immediate action.

Quantifying Energy Savings

Problem

Client implemented Energy Conservation Measures (ECMs) and needed to quantify weather-normalised savings.

Solution

We used baseline models to compare measured data with predictions, quantifying savings and identifying buildings where ECMs underperformed.

Comparative Building Performance

Problem

Client managed 60 buildings of similar purpose and wanted a way to compare their performance

Solution

By integrating additional data like m², we created KPIs to benchmark performance across buildings, identifying anomalies like excessive setback consumption while factoring in weather conditions.

Process Overview

Before We Start

Requirements to Start Collaboration

  • Energy consumption data (15-minute intervals for at least 12 months) from a distributor/supplier portal, IoT or EMS
  • API access for real-time data collection (optional, can be set up later)
  • Floor area, operating hours approximate location
  • A manager to consult with us and share findings within the organization
  • A few hours per month for ongoing collaboration

Initial Phase

Data Analysis (2 months)

  • Import and set up of provided energy data
  • Identification of ML models tailored to the portfolio
  • Analysis of unusual branches (e.g., under reconstruction, storage, vaults, archives, etc.)

Continuous Phase

Optimization and Monitoring

  • Branch Benchmarking
  • Identify and prioritize branches with the highest savings potential
  • Gradually address more complex cases
  • Anomaly Detection
  • Sudden consumption spikes or declining efficiency trends
  • Impact Evaluation
  • Assess energy-saving measures and track results
  • Forecasting
  • Predict year-end consumption for each branch, with continuous updates

Find Out More or Request a Demo

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