OpenSTEF
E904619
OpenSTEF is an open-source project focused on short-term forecasting of electricity demand and generation to support grid reliability and flexibility.
All labels observed (1)
| Label | Occurrences |
|---|---|
| OpenSTEF canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11100259 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OpenSTEF Context triple: [LF Energy, hasProject, OpenSTEF]
-
A.
ObjectStudio
ObjectStudio is a commercial Smalltalk development environment and IDE, historically known for its strong Windows integration and enterprise application support.
-
B.
Stec
Stec is a Polish surname borne by various notable individuals in fields such as aviation, sports, and the arts.
-
C.
Phystech System
Phystech System is a rigorous, research-oriented educational model used at the Moscow Institute of Physics and Technology that tightly integrates students into leading scientific laboratories and real-world research from early in their studies.
-
D.
Modia
Modia is one of the smaller islands in the Echinades group off the western coast of Greece in the Ionian Sea.
-
E.
Cal OES
Cal OES is the California state agency responsible for coordinating emergency management, disaster response, and homeland security efforts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OpenSTEF Target entity description: OpenSTEF is an open-source project focused on short-term forecasting of electricity demand and generation to support grid reliability and flexibility.
-
A.
ObjectStudio
ObjectStudio is a commercial Smalltalk development environment and IDE, historically known for its strong Windows integration and enterprise application support.
-
B.
Stec
Stec is a Polish surname borne by various notable individuals in fields such as aviation, sports, and the arts.
-
C.
Phystech System
Phystech System is a rigorous, research-oriented educational model used at the Moscow Institute of Physics and Technology that tightly integrates students into leading scientific laboratories and real-world research from early in their studies.
-
D.
Modia
Modia is one of the smaller islands in the Echinades group off the western coast of Greece in the Ionian Sea.
-
E.
Cal OES
Cal OES is the California state agency responsible for coordinating emergency management, disaster response, and homeland security efforts.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
energy forecasting tool
ⓘ
open-source software project ⓘ |
| aimsTo |
support grid flexibility
ⓘ
support grid reliability ⓘ |
| applicationArea |
distribution grid operations
ⓘ
renewable energy integration ⓘ transmission system operations ⓘ |
| domain |
electricity grids
ⓘ
power systems ⓘ |
| focusesOn |
short-term forecasting of electricity demand
ⓘ
short-term forecasting of electricity generation ⓘ |
| goal |
enable transparent and reproducible forecasting
ⓘ
facilitate collaboration in energy forecasting community ⓘ improve accuracy of short-term power forecasts ⓘ |
| hasFeature |
API for forecast generation
ⓘ
backtesting of forecasts ⓘ data preprocessing utilities ⓘ machine-learning-based forecasting models ⓘ model evaluation tools ⓘ model training pipeline ⓘ time-series forecasting ⓘ |
| isCollaborative | true ⓘ |
| isOpenSource | true ⓘ |
| license | open-source license ⓘ |
| promotes |
open data practices in energy forecasting
ⓘ
standardized forecasting workflows ⓘ |
| softwareType | Python-based project ⓘ |
| supports |
energy planners
ⓘ
grid operators ⓘ |
| supportsDataType |
calendar and event data
ⓘ
generation data ⓘ historical load data ⓘ weather data ⓘ |
| supportsTimeHorizon |
day-ahead forecasting
ⓘ
intra-day forecasting ⓘ |
| supportsUseCase |
forecasting for congestion forecasting and mitigation
ⓘ
operational decision support ⓘ scenario analysis for grid planning ⓘ |
| targetUsers |
DSOs
ⓘ
TSOs ⓘ data scientists in the power sector ⓘ energy researchers ⓘ grid operators ⓘ |
| usedFor |
balancing supply and demand
ⓘ
congestion management ⓘ generation forecasting ⓘ load forecasting ⓘ operational planning ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: OpenSTEF Description of subject: OpenSTEF is an open-source project focused on short-term forecasting of electricity demand and generation to support grid reliability and flexibility.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.