Integrating Energy Meters with AI: Automating Energy Accounting and Monitoring with ASI Biont

Integrating Energy Meters with AI: Automating Energy Accounting and Monitoring with ASI Biont

Have you ever wondered how much time your team spends collecting electricity meter readings? It usually goes like this: an engineer walks around facilities with a tablet, records kilowatt-hours, then transfers them to Excel, then you consolidate data across all metering points. What if you have twenty meters? Fifty? What if they're in different locations?

Meanwhile, modern metering systems have long been able to provide data via APIs. But simply getting numbers isn't enough—you need to analyze them, compare them, find anomalies, and make forecasts. This is where the AI agent ASI Biont comes into play. Out of the box, it can integrate with any service that has an API, including Energy meters. The result is a fully automated energy accounting system that works without human intervention.

In this article, I'll show how to connect Energy meters to ASI Biont, what tasks this integration solves, and how it saves money in real-world cases.

What are Energy meters and why connect it to an AI agent?

Energy meters is a cloud service for collecting data from smart electricity meters. It aggregates readings from various types of devices—from household dual-tariff meters to industrial multifunctional metering units. Through its API, the service provides real-time data on consumption, voltage, power, and other parameters.

Why do you need integration with an AI agent? By itself, Energy meters is essentially a database with an interface for viewing charts and exporting reports. To extract value from this data, you need to analyze it: compare indicators with previous periods, identify outliers, forecast load, optimize tariff plans. That's exactly what ASI Biont does.

The AI agent doesn't just read numbers; it interprets them. For example, it can detect that consumption in Workshop No. 3 has increased by 15% over the past week for no apparent reason and suggest checking the equipment. Or it can forecast tomorrow's peak load based on weather and the production plan—and recommend when to run energy-intensive processes to save on higher tariffs.

How ASI Biont connects to Energy meters: no control panels—just chat

Most automation platforms require you to fiddle with control panels: find the integration in a catalog, configure scripts, set up webhooks. ASI Biont works differently.

The entire connection process is a dialogue with the AI agent in chat. You simply give it the API key from Energy meters (usually found in your account settings), write that you want to connect the service—and that's it. ASI Biont will study the API documentation, write the integration code, set the polling frequency, and create the necessary analysis functions.

Here's the key point: ASI Biont connects to any service that has an API. You don't need to wait for platform developers to officially add support for Energy meters—the integration is created automatically for your specific case. Moreover, the code is not written from a template but tailored to the tasks you want to solve. For example, if you only need to collect readings once a day and send a summary to Telegram, there's one code. If you need monitoring with alerts and forecasts, it's another.

Since the entire process happens through dialogue, you can ask follow-up questions, change parameters, and ask the agent to add new scenarios. It's like hiring a developer who works in minutes, not weeks. Moreover, you can ask the agent to change the logic at any time: for example, switch from polling once an hour to every 15 minutes, add daily average consumption calculation, or set up notifications in a specific messenger.

What tasks does the integration automate?

After connecting Energy meters to ASI Biont, you get not just a 'data collector' but a full-fledged analyst for your energy infrastructure. Here are the main tasks the agent handles:

• Automatic collection and storage of readings — AI polls the Energy meters API at a set frequency (e.g., every 15 minutes) and stores the history in an analysis-friendly format.
• Real-time monitoring — the agent tracks current consumption across all metering points and compares it with baseline values or previous periods.
• Anomaly detection — sudden spikes, nighttime peaks, "stuck" readings... ASI Biont will automatically notify you of abnormal situations via Telegram, Slack, or email.
• Consumption forecasting — based on historical data and additional factors (weather, seasonality, production calendar), AI builds forecasts to help you plan your electricity budget.
• Tariff optimization — the agent analyzes your consumption profile and suggests the optimal tariff plan: it can shift energy-intensive processes to nighttime hours if your meter supports multi-tariff metering.
• Report generation — daily, weekly, and monthly reports are generated automatically as clear charts and tables.

Unlike off-the-shelf plugins that only do what developers intended, ASI Biont adapts to your scenario. You can combine Energy meters data with other sources—such as weather forecasts or production plans. This opens up opportunities for complex optimization that no boxed product can provide.

Example scenarios: from a residential house to an industrial site

Integrating Energy meters with an AI agent is useful not only for large enterprises. Here are three real-world scenarios you could implement today.

Scenario 1. Private house with solar panels

The homeowner has installed solar panels and a dual-tariff meter. Energy from the panels is first used for their own needs, and the surplus is sold to the grid under a 'green' tariff. ASI Biont connects to Energy meters and reads data from both meters every 10 minutes—generation and consumption.

The agent analyzes when generation exceeds consumption and recommends turning on energy-intensive appliances (dishwasher, boiler) during those hours. It also forecasts the weather and warns that due to clouds tomorrow generation will drop by 30%—so you should postpone laundry to the afternoon when consumption is minimal. In a month, such optimization can noticeably reduce electricity costs.

Scenario 2. Small office or coworking space

In an office with 15 metering points, it's traditionally difficult to control which department consumes the most. With Energy meters and ASI Biont, a landlord can set up automatic breakdown by department using sub-agents. The agent collects data and allocates costs among tenants based on actual consumption.

In addition, AI notices that the air conditioning system in the conference room runs at night—and sends the owner a notification recommending to set a schedule. Savings on such 'leaks' can be significant.

Scenario 3. Manufacturing workshop

For a workshop with three shifts, Energy meters provides a detailed picture of load per machine. ASI Biont integrates with the API and builds a model of normal consumption for each shift. When a machine starts operating under increased load (e.g., due to bearing wear), the agent detects the deviation and sends an alert to the maintenance service.

This helps prevent a breakdown before it stops production. According to industrial engineers, one hour of unplanned downtime can cost tens of thousands of rubles. The integration pays for itself with the first prevented accident.

For clarity, let's summarize the scenarios in a table:

Why it's beneficial: saving time and money

The main argument for integration is the reduction of manual labor. Manually collecting readings from 20 metering points takes several hours a week. ASI Biont does it in minutes—it simply retrieves the data via the Energy meters API. In a month, you save dozens of man-hours that can be spent on business development rather than copying numbers from one spreadsheet to another.

In addition, automated energy accounting reduces the risks of the human factor. Errors in manual reading entry are a cause of inflated bills and fines for unreliable data. AI eliminates such errors because it works with 'raw' values from the API.

Finally, intelligent analysis helps find hidden savings opportunities. For example, ASI Biont can analyze your load profile and tell you whether you're overpaying due to an incorrectly chosen tariff. Practice shows that switching to multi-tariff metering and shifting some load to nighttime hours often yields a noticeable effect.

How to get started right now

Integrating Energy meters with ASI Biont takes less than an hour. You only need an account in the Energy meters service and an API key. Then simply write to the AI agent in chat: 'Connect Energy meters, here's my key, I want to receive a daily report and notifications about anomalies.' That's it.

ASI Biont will figure out the API documentation itself, write the code, test the connection, and start working. You can continue to manage the integration through chat: add new scenarios, change polling frequency, request analytics.

You don't need to be a programmer to automate energy accounting. You don't need to wait for the platform to 'add support'—with ASI Biont you connect any API service in one dialogue.

Try the Energy meters integration with the AI agent today at asibiont.com. The first setup scenario is free—enter your API key and see that energy accounting can be smart, fast, and cost-effective.