[agents] Fully funded PhD position at the intersection of MAS, HCI, and Smart Grid research

[Georgios Chalkiadakis]

Please submit inquiries to Dr Vasilis Vlachokyriakos (
Vasilis.Vlachokyriakos1 at newcastle.ac.uk) and myself (Georgios Chalkiadakis -
 gehalk at intelligence.tuc.gr <gehalk at cs.intelligence.tuc.gr> )
Deadline for applications : January 29, 2018
P2P Energy: Clean energy decentralised production, consumption and
distribution

Key Words: peer-to-peer; energy sharing; energy commons; multi-agent
decision making
Summary

*Lead Supervisor:* Dr Vasilis Vlachokyriakos
<http://www.ncl.ac.uk/computing/people/profile/vasilisvlachokyriakos1.html#publications>

*Project Studentship Code:* IFS014

*Programme Code:* 8050F

*To apply you must follow the 'How to Apply'
<http://www.ncl.ac.uk/sustainability/funding/studentships/> instructions.
( **http://www.ncl.ac.uk/sustainability/funding/studentships/
<http://www.ncl.ac.uk/sustainability/funding/studentships/> )*

The objective of the proposal is to attempt to address some of the
subsequent targets of the Sustainable Development Goals related with energy
infrastructures and clean energy consumption, production and distribution
through the employment of (algorithmically) efficient and (socially) just
systems. This research topic stems from the observation that in a
decentralised clean energy architecture, which is more and more possible
due to recent developments in technology and engineering (e.g. distributed
ledger etc.), there is an opportunity to develop commons-based and
peer-to-peer approaches to the governance, ownership and in general the
economics of energy production, consumption and distribution. Such a vision
addresses at least three of UN’s SDGs, indicatively: (7) Affordable and
clean energy; (9) Industry, innovation and infrastructure; and (12)
Responsible consumption and production.

For such a commons-based approach to be achieved, it is of paramount
importance to design and develop algorithms which enclose decision-making
models and negotiations methods between human and artificial agents that
guarantee the protection of such a common resource (i.e. clean energy),
enable all affected parties to part take in its governance in an equal
manner, provides resilience through the decentralisation of energy
production, and ensures the fair distribution of the value extracted from
this process.

----


Georgios Chalkiadakis

Associate Professor
Electrical and Computer Engineering
Technical University of Crete
http://www.intelligence.tuc.gr/~gehalk/
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