Global energy transition signals (clean-electricity momentum, decarbonization rates, anomalies)

Name: Global energy transition signals (clean-electricity momentum, decarbonization rates, anomalies)
Creator: Global Energy Transition Signals (derived)
License: https://ourworldindata.org/how-to-use-our-world-in-data
Keywords: energy, decarbonization, renewables, electricity, co2, momentum, anomaly-detection, signals, owid

Value-added energy-transition signals derived from the free Our World in Data energy dataset (Energy Institute Statistical Review of World Energy, CC-BY-4.0): annual low-carbon and fossil-fuel electricity shares plus electricity carbon intensity for every country with an ISO code, 2000 -> latest year. Each row carries 5-year transition momentum, the annualized decarbonization rate, 3-sigma anomaly flags vs a trailing-10y baseline, and a per-year cross-country transition rank. All computation is local pandas/numpy; no paid models or APIs.

Source: Global Energy Transition Signals (derived)16,083 lignesMis à jour: 22/09/2026Licence: CC-BY-4.0

energydecarbonizationrenewableselectricityco2momentumanomaly-detectionsignalsowid

Qualité

98.2

Attribution

Our World in Data / Energy Institute Statistical Review of World Energy; derived signals by Frontier Data Hub

Schéma

Colonne	Type	Description
date	string	Reference year of the observation, as the first day of the year (YYYY-01-01).
country	string
country_code	string
series_id	string	Transition series identifier: LOW_CARBON_SHARE_ELEC, FOSSIL_SHARE_ELEC or CARBON_INTENSITY_ELEC.
series_label	string	Human-readable series label naming the indicator and its source (Our World in Data / Energy Institute).
value	float	Indicator value as published in Our World in Data's energy dataset: low-carbon and fossil-fuel shares of electricity in percent of electricity; carbon intensity in grams of CO2 per kilowatt-hour of electricity. See ourworldindata.org/energy for methodology.
transition_momentum_5y	float
decarb_rate_5y	float
anomaly_flag	integer
rank	integer

Exemple de lignes

date	country	country_code	series_id	series_label	value	transition_momentum_5y	decarb_rate_5y	rank
2000-01-01	Aruba	ABW	CARBON_INTENSITY_ELEC	Carbon intensity of electricity (Our World in Data / Energy Institute)	653.85	—	—	—
2000-01-01	Afghanistan	AFG	CARBON_INTENSITY_ELEC	Carbon intensity of electricity (Our World in Data / Energy Institute)	250	—	—	—
2000-01-01	Angola	AGO	CARBON_INTENSITY_ELEC	Carbon intensity of electricity (Our World in Data / Energy Institute)	256.94	—	—	—
2000-01-01	Albania	ALB	CARBON_INTENSITY_ELEC	Carbon intensity of electricity (Our World in Data / Energy Institute)	48.63	—	—	—
2000-01-01	United Arab Emirates	ARE	CARBON_INTENSITY_ELEC	Carbon intensity of electricity (Our World in Data / Energy Institute)	676.77	—	—	—

Télécharger un échantillon

Téléchargez l'échantillon complet de ce jeu de données (lignes d'exemple, pas le jeu complet).

Télécharger l'exemple CSV Télécharger l'exemple JSON

Utiliser avec un LLM

Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/energy_transition_signals/global_energy_transition_signals" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/energy_transition_signals/global_energy_transition_signals").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

Point d’accès API: https://datazimuts.com/v1/datasets/energy_transition_signals/global_energy_transition_signals

Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.