New 3-year postdoctoral research position on AI-powered control and optimisation for smart distribution systems with hybrid transformers at @oxengsci in collaboration with @energy_matthew & @IONATE_Energy Link: https://t.co/SHrjUd3N90 Apply by 10th of January

Interested in how multi-agent reinforcement learning (MARL) can support the decentralization and decarbonization of energy networks and mitigate the associated challenges? Have a look at our survey, written with Chaimaa Essayeh, @UoE_Agents, and @TMorstyn

Perth West showed that the implementation of a smart local energy system (SLES) composed of a PV farm and utility-scale battery can reduce site emissions by 48% @innovateuk @UKRI_News #energysmartplaces @TMorstyn @EdinburghUni

Session 2 @EnergyREV_UK summit - the role of #energysmartplaces in the UK Net Zeto Future chaired by David Shipworth, with @jessbritton11 @jjeh102 @TMorstyn Louise Alter @EQUANS_UK Stuart Fowler @NationalGridESO @innovateuk @UKRI_News

3-page brief on our proposal for locational CfDs to support investment in renewables

PhD opportunity in Quantum Computing for Power System Optimisation with @RaulGarciaPatr1 and me https://t.co/0lTyIWi20I

The paper looks at algorithm development and qubit scaling for problems where we want to: - Plan distribution network upgrades - Site/size renewables - Schedule loads with on/off flexibility (e.g. EVs, smart appliances)

Can quantum computing help with power system optimisation? The answer is not if but when. New paper in IEEE Trans. on Smart Grid using @dwavesys 5,760 qubit quantum annealer https://t.co/TukVjhxOxq

Panel session @EnergyREV_UK discussing how smart local energy systems can play an important role in the energy crisis @hannon_matthew @TMorstyn Rajat Gupta, Marko Aunedi, Tim Chappelle, Naomi Baker @EnergyUKcomms @EnergySysCat #flexibility #energymarkets #socialisingbenefits

New partnership with @nationalgriduk to help decarbonise power transmission. Great work from the whole team on getting this partnership going. More information on: https://t.co/59oefKtqlG (my photography hobby also paid off with this featured picture 📷) @SchoolOfEng_UoE

New high fidelity GB transmission system model available here: https://t.co/mVJOapJ2dg

Key takeaways: 1. Carbon abatement from renewables depends on network congestion due to redispatch. 2. Deploying renewables in the south of GB can decrease congestion cost by £4.04/MWh. 3. Predictable renewable generation can decrease reserve costs by £2.44/MWh.

"Putting Wind and Solar in Their Place" - new paper with Iacopo Savelli, @jjeh102 and @camjhep. We look at how we can improve the UK's renewable CfD auctions by accounting for cost & CO2 impacts of network congestion, redispatch and reserve requirements. https://t.co/WzOzUYg5Lp

Contracts for difference with congestion

New paper out🚨It's hard to navigate the space of distributed energy resources coordination! The literature is growing exponentially, with many words like 'P2P' and 'transactive energy' thrown around. How do all coordination strategies relate to each other? https://t.co/LhBMw8Byrr

Recruting a Postdoctoral Research Associate to look at energy market integration of grid-scale storage for maximum emissions reduction @Edinburgh. Collaboration with Professor @DavidHowey, @OtherProfGreen. Link: https://t.co/ezzUtUVCLw Apply by 07/06/2022

Looking forward to this - will be recruiting soon

First PhD paper published! 🎉 We propose novel scalable multi-agent reinforcement learning algorithms for the distributed control of residential flexibility, including EVs and smart heating. @MD_MCCULLOCH @TMorstyn https://t.co/WItMxcxhmy #energytwitter #reinforcementlearning

50 days' free access to our recently published article "A framework for participation of prosumers in peer-to-peer energy trading and flexibility markets" by: https://t.co/il9qxiKHG1 #community #energy #trading #market #P2P #free #peertopeer #local #energycommunities #prosumer

We present a "smart energy neighbourhood" architecture for pursuing shared objectives within local energy system, such as reducing energy poverty and supporting community investment in clean energy technologies.