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Repair Windows errors before they cause bigger problemsFix Now →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Clear out junk files and repair common Windows errorsFree Scan →Energy intelligence can help an organization decide where to focus efficiency, maintenance, reporting and investment efforts—but it is not a guarantee of savings or growth. For businesses and other organizations, a practical starting point is to use existing bills and meter records to establish a baseline, then collect only the additional data needed to improve a specific decision.
What energy intelligence means for an organization
There is no single fixed definition of energy intelligence. In this guide, it means the ability to collect, interpret and act on information about energy use, cost, system performance and relevant market changes. Its value depends on whether the information helps people make better operational or investment decisions.
Operational energy intelligence focuses on an organization’s own facilities and equipment: where and when energy is used, whether systems are performing as expected, and which changes merit investigation. Market intelligence is different. It concerns developments such as low-carbon technologies, policy, costs and energy markets that may affect strategy or investment.
Start with the decisions you need to improve
Before buying meters or software, identify the choices better information should support. The Australian Government’s business guidance describes metering and monitoring as tools for understanding facility and equipment performance, energy use and cost, and for supporting improved management and optimization. Existing bills and meter readings can be used to form an initial baseline.
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- Author: Gordon, Jon.
- Publisher: Wiley
- Pages: 192
- Publication Date: 2007
- Edition: 1
- Compare sites: identify differences in energy use across facilities and investigate what may explain them.
- Tune equipment: examine time-of-use patterns and system performance to guide adjustments.
- Detect faults or maintenance needs: use sufficiently detailed data to look for changes that warrant inspection.
- Review bills and tariffs: compare meter records with charges and examine when demand occurs.
- Evaluate upgrades: use a baseline and measurement-and-verification plan to assess results after implementation.
- Support reporting or demand response: identify the data and timing requirements before selecting monitoring equipment.
Benchmarking can help compare facilities or real-world performance, but comparisons are useful only when the sites and conditions being compared are sufficiently understood. A difference in energy use is a prompt to investigate, not proof that one facility is better managed.
Build an energy-information program in six steps
- Assemble existing records. Gather energy bills, meter readings and available operating information. Use these to establish what is already known about consumption and cost.
- Define the intended decisions. Specify whether the priority is site comparison, equipment tuning, billing checks, fault detection, upgrade planning, reporting or demand response.
- Inventory current infrastructure. Record existing meters, displays, loggers, control boards and communications. Check what can be used or integrated before adding equipment.
- Specify measurement needs. Match meter type, accuracy, resolution and logging interval to the decisions on the list. Some real-time fault-detection and demand-response strategies require higher-resolution data than a whole-site billing baseline.
- Choose a data and analytics approach. Select a model that fits staff capacity and integration requirements, from systems managed in-house to third-party data collection, visualisation or specialist analytics.
- Measure outcomes and revisit priorities. Use a measurement-and-verification plan to evaluate completed changes. Feed the results into the next round of maintenance and investment decisions.
Choose monitoring equipment and services to fit the use case
There is no universal meter or platform choice. The Australian Government’s guidance notes that system complexity varies and should suit the organization’s needs and circumstances. Compare options against the decisions the program is meant to support.
| Decision factor | What to check |
|---|---|
| Data need | Whether whole-site billing information is enough, or whether subsystem diagnosis or real-time monitoring is required. |
| Measurement quality | Whether meter type, accuracy, resolution and logging interval are suitable for the intended analysis or control. |
| Existing systems | What meters, sensors, controls and communications are already installed, and whether new components can work with them. BACnet and Modbus are examples of protocols that may be relevant where applicable. |
| Operating capacity | Whether staff can manage the data and software internally or need outside collection, visualisation or analytics support. |
| Decision value | Whether the information will be used for maintenance, tariff review, upgrades, verification, reporting or demand response. |
| Implementation burden | Installation, connectivity, data management and ongoing service needs for the particular site. The government guidance provides no universal price or payback figure. |
Submeters can provide more detail about individual systems or subsystems. Current transformers and other electrical, temperature, pressure and humidity sensors may be incorporated into monitoring and control systems. Depending on the application, monitoring may also connect with building management systems, energy management systems or grid-responsive demand management. These are possible configurations, not a promise that a particular device or integration will produce savings.
For some organizations, internally managed systems may be sufficient. Others may prefer third-party meter-data collection and visualisation or a specialist provider for energy intelligence and analytics. The right choice depends on the information required, existing infrastructure and the capacity to turn data into action—not on the amount of data a platform can display.
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Turn measurements into a repeatable action loop
A dashboard is an input to decision-making, not the outcome. To make monitoring useful, assign responsibility for reviewing information and deciding what happens when it indicates a problem or an opportunity.
- Prioritize: identify an issue or opportunity in the data and decide whether it merits investigation.
- Act: make an appropriate operational adjustment, maintenance intervention or investment decision.
- Verify: compare results with the baseline using a measurement-and-verification plan.
- Reassess: use what the result shows to refine future monitoring and priorities.
This loop helps distinguish measured outcomes from assumptions. Organization-specific bills, baselines and post-change measurements are more appropriate for a business case than an unsourced claim about typical savings or payback.
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Keep operational monitoring separate from energy-market research
Energy-market intelligence addresses a different strategic question from facility monitoring. Energy Intelligence describes a low-carbon research service for energy firms, investors and governments that combines research, datasets, analysis and expert access. Its stated subject areas include renewable and conventional generation costs, storage, transport, decarbonization and hydrogen. This is a description of the provider’s service, not independent evidence of its results or an endorsement.
An organization deciding how to manage its own building loads needs operational data. An investor or energy-sector business assessing changes in technologies or markets may also need market research. The two capabilities can inform related decisions, but neither substitutes for the other.
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