Forecast energy consumption and production on district level

• Title: Forecast energy consumption and production on district level
• Description: provide the user with a forecast of energy consumption and production on district level, during a user defined time interval. This forecast will be based of energy models implemented in DAREED Platform which will characterize the district to be simulated, real consumption data retrieved (when available) or theoretical consumption patterns and meteorological databases and predictions (when available).
• Data Domain(s): Building Data, Geolocation and Weather
• Objectives: Knowledge-based and transparent decision making.
• Stakeholders: Policy maker, utility companies
• Requirements: data integration, building visualisation.
• LD Benefits:

1. structured vocabularies allow data integration;

• Challenges

1. integrating data on-demand;

• Solution Occurs in BLC Stage: Operation
• Uses Data Generated During BLC Stage: Planning and Design, Operation, Retrofitting/Refurbishment/Reconfiguration
• Data Standards Used: schema.org, SSN, OM Ontology, RDF data cube, Energy resource ontology (ero), Geonames, WGS84
• Associated Projects: DAREED Project
• External source(s):
• Use Case Description in BIM*Q Tool: BIM*Q Use Case
• Wiki contributors: Hendro Wicaksono (KIT)