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Energy Consumption Monitoring Apps With IoT + Python
Build real-time energy consumption monitoring apps using IoT and Python. PySquad helps businesses track usage, reduce waste, and optimise energy efficiency.
Built around your operation
- Factories and industrial facilities
- Commercial buildings and campuses
- Enterprises tracking energy across departments
The business case
Better identification of waste and equipment inefficiencies
Less manual effort spent collecting and analyzing meter data
Clearer energy performance visibility across facilities and sites
Results depend on scope, integrations and adoption.
The operating context
A clearer view of the whole operation.
Businesses need timely visibility into energy consumption to control operating costs, identify waste, and improve equipment efficiency. Yet meter readings, sensor data, and energy reports are often spread across devices and systems, leaving teams without a current view of where and when energy is being used. We build IoT based energy monitoring applications that collect meter and sensor data, analyze consumption patterns, and present operational insights through centralized dashboards. The system can support factories, commercial buildings, campuses, and multi site operations with real time monitoring, alerts, forecasting, and integrations.
Where friction builds
Why businesses struggle to see where energy is being wasted
Many facilities still depend on manual meter readings or delayed energy reports, making it difficult to identify abnormal consumption as it happens. Peak demand, inefficient equipment, and unexpected usage can remain hidden until the next reporting cycle. Without continuous monitoring, teams have limited evidence for explaining energy costs or comparing performance across devices, zones, and facilities. By the time a problem becomes visible, the organization may already have absorbed unnecessary energy costs and operational inefficiencies.
- Manual meter readings and spreadsheets
- Monthly or delayed energy reports
- No alerts for abnormal consumption
- Limited historical data for comparison
- Hidden wastage and higher energy costs
- Late detection of equipment issues
- Poor planning and forecasting
- Weak sustainability and compliance reporting
Inside the solution
The capabilities behind the operation.
Review the functional scope, then discuss the requirements specific to your team.
Real-time energy data ingestion
Continuous collection of meter data from IoT devices and sensors.
Live usage dashboards
Clear charts and views for device, zone, and facility-level consumption.
Anomaly detection and alerts
Notifications for spikes, wastage, or abnormal patterns.
Historical analysis and trends
Compare usage over time to identify inefficiencies and improvements.
AI-based demand forecasting
Predicts future consumption to support planning and optimisation.
System and ERP integration
APIs to connect energy data with billing, reporting, and sustainability tools.
From requirements to implementation
Grounded in the way your team works.
How we work- 01
Assess meters, sensors, gateways, facilities, and available energy data sources
- 02
Define the monitoring hierarchy for devices, zones, departments, and sites
- 03
Build scalable IoT data ingestion and processing pipelines
- 04
Design dashboards and alerts around real energy management decisions
- 05
Validate consumption data before introducing anomaly detection and forecasting
- 06
Connect monitoring outputs with billing, ERP, sustainability, and reporting workflows
Our approach
We design energy monitoring as an operational control system. IoT data, analytics, and dashboards work together so teams can see usage in real time, understand patterns, and act quickly.
Make an informed decision
Is this the right fit?
The right solution starts with the right operating requirements.
Check the fit with usDesigned for
- Factories and industrial facilities
- Commercial buildings and campuses
- Enterprises tracking energy across departments
- Smart buildings and infrastructure operators
May not be suitable for
- Sites without digital meters or sensors
- Teams looking only for manual reporting
- Short-term pilots with no optimisation goals
- Projects without access to energy data sources
Trusted by clients worldwide
See it on your workflows
Discuss your requirementsWalk through the solution with your operation in mind.
Before you decide
Questions worth asking.
Ask something elseCan energy forecasts and monitoring data support operational planning?
Yes. Historical consumption and operational data can be used for forecasting and trend analysis, helping teams plan expected demand, investigate changes in consumption, and support energy management decisions.
Which IoT meters and sensors can the system integrate with?
The platform can be connected with supported meter and sensor technologies through protocols, gateways, APIs, or custom integrations. The exact integration approach depends on the devices and data interfaces already used at the facility.
Can the energy monitoring app support factories and commercial buildings?
Yes. The system can be configured for industrial facilities, commercial buildings, campuses, infrastructure sites, and other environments where continuous energy consumption monitoring is required.
Can we monitor multiple facilities from one dashboard?
Yes. Multi site monitoring can provide centralized visibility while still allowing teams to analyze individual facilities, zones, devices, or departments separately.
Can the system identify abnormal energy consumption automatically?
Yes. Anomaly detection workflows can analyze incoming consumption data to identify unusual patterns, spikes, or deviations and generate alerts for the relevant users.
Start with your requirements
Let’s define your next step.
Tell us what needs to work better, the systems you use, and the scope you have in mind.
Discuss your requirementsShare your requirements through our enquiry form.A little closer, wherever you are
Big world.
Close partnership.
Good work travels. We bring product engineering, AI and Odoo ERP to the conversation, and make room for your way of working.
01 / BaseAhmedabadIndia, remote
02 / ApproachOne shared planDiscovery to delivery
03 / ConnectionBuilt around youAgreed meeting rhythm