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: Apply by 10th of January

RT @SarahKeren_: Interested in how multi-agent reinforcement learning (MARL) can support the decentralization and decarbonization of energy….

Blazing-fast image creation – using just your voice. Try Grok Imagine.

RT @EnergyREV_UK: Perth West showed that the implementation of a smart local energy system (SLES) composed of a PV farm and utility-scale b….

RT @EnergyREV_UK: Session 2 @EnergyREV_UK summit - the role of #energysmartplaces in the UK Net Zeto Future chaired by David Shipworth, wit….

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.

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.

RT @EnergyREV_UK: Panel session @EnergyREV_UK discussing how smart local energy systems can play an important role in the energy crisis @ha….

RT @mmcmerlin: New partnership with @nationalgriduk to help decarbonise power transmission. Great work from the whole team on getting this….

New high fidelity GB transmission system model available here:

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.

RT @RichardTol: Contracts for difference with congestion

RT @fcharbonnier_: New paper out🚨It's hard to navigate the space of distributed energy resources coordination! The literature is growing ex….

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: Apply by 07/06/2022.

Looking forward to this - will be recruiting soon.

RT @fcharbonnier_: First PhD paper published! 🎉.We propose novel scalable multi-agent reinforcement learning algorithms for the distributed….

RT @MiadShafiekhah: 50 days' free access to our recently published article "A framework for participation of prosumers in peer-to-peer ener….

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.