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OPTIMUS factsheets, a series of materials that have been produced to provide more detailed information on certain aspects of the OPTIMUS package.
Optimus is a package of web-based consulting tools for energy managers and energy consultancies, in order to make cities more energy efficient and sustainable.

Inference rules are an important part of the scenario modelling that allows the development of the action plans suggested by the OPTIMUS Decision Support System.
Prediction Models are key components that enable the OPTIMUS DSS make accurate forecasts of different quantities and support the making of suitable suggestions for the forthcoming days.
The DSS, core element of OPTIMUS package, is an integrated web-platform to support energy managers in optimising energy performance of buildings, by suggesting short-term action plans.
The SCEAF is a framework for assessing and evaluating the performance of the city/building in terms of energy efficiency and usage of “smart” technologies in energy management.
The web-based environments are the interfaces Optimus designed for interaction between OPTIMUS DSS and its different users
  • Methodology
  • Tools
  • Plan Action
  • Implement Action
  • Achievement
  • Energy
  • SEAP
Type of resource:
  • Guideline / handbook
  • Tool
  • Electronic resource
  • Capacity development
  • Guidance
  • Implementation (tool)
  • Planning
Author: ICLEI Europe
Publisher: Carsten Rothballer
Published in: 2016
Last updated: 2016
Relevant for:
  • Europe
  • Business / service
  • Industrial
  • Institutional
  • Municipal
  • Residential
  • Buildings
  • Climate change
  • Climate mitigation
  • Energy
  • Energy efficiency
  • English
Free to use: Yes
Terms of use / copyright info:
This project has received funding from the European Union’s Seventh Programme for Research, Technological Development and Demonstration under Grant Agreement No. 608703
Energy Subject:
  • Energy use
  • Space heating / cooling
  • Energy efficiency
  • Energy efficiency -Action
  • Energy efficiency -Material
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