responsive algorithmic enterprise project full details
Champion:
Danica Vukadinovic Greetham
Senior Research Fellow
Participant(s):Lax Chan;
Timeline:01 Jun 2018 - 01 Feb 2020
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RAE (Responsive Algorithmic Enterprise)
Energy management system for SMEs
In this project, we work with AND technology and research (https://andtr.com/) to develop new methods and algorithms to better understand current and anticipate future electric demand of small and medium enterprises (SMEs). The recurrence quantification analysis based-method is capable of alerting users of unusual behaviour, exceeded budget constraints or faulty equipment. Consequently, this work has been incorporated into a system and app AEMS, www.myaems.com by ANDtr. During 2018-2020, trials toward commercialisation are funded by the UK government, Dept. for Business, Energy and Industrial Strategy (BEIS), expecting a commercial product to be released in 2020.
Partners
- AND technology and research
Vukadinovic Greetham, D. and Giasemidis, G. (2019). Energy maps for Small and Medium Enterprises. In: ACM e-Energy 2019, 25-28 Jun 2019, Phoenix, Arizona, US. https://oro.open.ac.uk/61432/.
Rizzardini, R.H., Linares, B.H., Mikroyannidis, A. and Schmitz, H.C. (2013). Cloud services, interoperability and analytics within a ROLE-enabled personal learning environment. Journal of Universal Computer Science, 19(14), pp. 2054–2074. https://oro.open.ac.uk/39235/.
