Node operators process transactions and receive token incentives. These independently owned high-spec node machines around the world are connected via Internet Computer Protocol (ICP), creating a self-sovereign network not reliant on any cloud services. Advanced cryptography allows any application or service to be run on the network in a decentralized manner via smart contracts.

The Internet Computer is a decentralized cloud blockchain, where apps can be built fully onchain, using AI, or by coding. Try caffeine.ai & icp.ninja.

ICP tokenholders own and govern the protocol. They currently take (burn) all of the total transaction fees paid by users (revenue). ICP Holders can stake their ICP on the Network Nervous System (NNS), an advanced fully on-chain DAO that facilitates liquid democracy. Staking ICP allows users to submit proposals, vote on proposals, and earn rewards for their participation in governance. Internet Computer's investors include Polychain, Scalar Capital, Amino Capital, etc.

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Internet Computer

# Internet Computer Node energy consumption rate Methodology

## 1. Overview

The Internet Computer node energy consumption rate metric measures the average daily energy consumption per node in the Internet Computer network, expressed in kilowatt-hours (kWh). This metric provides insights into the environmental impact and energy efficiency of the Internet Computer blockchain infrastructure by tracking how much energy each network node consumes on average per day.

## 2. Data sources

The calculation relies on the following data sources:

- **Internet Computer network statistics**: Daily operational statistics scraped from Internet Computer's official monitoring APIs or statistics endpoints
- **Node infrastructure metrics**: Energy consumption data collected from Internet Computer network nodes, measuring power usage in kilowatt-hours
- **Third-party monitoring systems**: External energy monitoring systems that track the power consumption of Internet Computer's node infrastructure

The raw data is delivered in JSON format containing daily statistics arrays with timestamped energy consumption measurements.

## 3. Step-by-step calculation

### Component A: Raw data extraction and parsing
- **Purpose**: Extract and parse daily node energy consumption data from JSON-formatted scraper sources
- **Logic**: The system processes JSON data containing daily statistics arrays. For each day, it extracts the timestamp from the `day` field and the energy consumption rate from the `node_energy_consumption_rate_kwh` field. The data is unnested from JSON arrays to create individual records for each day's measurements.
- **Key fields**: `timestamp` (converted from JSON string to timestamp type), `amount` (energy consumption rate in kWh), `inserted_at` (data ingestion timestamp for deduplication)

### Component B: Data deduplication and quality control  
- **Purpose**: Ensure data quality by selecting the most recent measurement for each day when multiple data points exist
- **Logic**: When multiple energy consumption measurements exist for the same day (due to data updates or corrections), the system applies a deduplication process. It assigns row numbers to each measurement for the same day based on the insertion timestamp, with the most recently inserted data receiving row number 1. Only records with row number 1 are retained in the final dataset.
- **Key fields**: `row_number` (ranking based on insertion time), all original fields from the extraction step

### Final aggregation
- **Combining components**: The deduplicated daily energy consumption data flows directly to the metric finalization process without additional aggregation, as each record already represents a daily measurement
- **Currency conversion**: No currency conversion is required as the metric is measured in kilowatt-hours (kWh), a physical unit of energy consumption
- **Time aggregation**: Data is already aggregated at the daily level from the source systems. The `finalize_metric_node_energy_consumption_rate` macro applies a forward-fill strategy to handle any missing days, ensuring continuous time series data
- **Final calculation**: The final metric value is the daily node energy consumption rate in kWh as reported by the Internet Computer network monitoring systems. The macro adds standardized metadata fields including business line classification as 'Blockchain', market sector as 'blockchains_l1', and applies chain availability filtering to ensure data quality standards are met

*This methodology was automatically generated by Token Terminal's methodology analyzer.*

total_node_energy_consumption / active_nodes

Energy consumption rate per node in kilowatt-hours.

Internet ComputerICP

Node energy consumption rate

Node energy consumption rate

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