Come and do a PhD with me if you are interested in using artificial intelligence to design the next generation electrochemical energy systems for net zero transition!
We are excited to announce that the 3rd International Conference on #Energy and #AI will be a blended online/in-person event in Belfort, France 🇫🇷, July 11-12, 2022. Please submit your abstract via the conference website https://t.co/ZJkDYZrsdD
Hot off the press Vol 2 of @ENERGYandAI now available with #openaccess! Topics ranging from battery🔋 to fuel cell⚡️, from heating🔥 to cooling❄️, and from engine🚗 to building🏫. Excited to see so many great applications of #AI in #energy @ElsevierEnergy https://t.co/tDY6MW54UJ
#AI for heating 🔥🔥🔥Prof Zhibin Yu @UofGlasgow and the team have developed #ANNs to resolve the relationship between #data of weather🌦️, building🏨and heat demand🔥
https://t.co/6DzQDCideF
Prof Zhiguo Qu and his team has reported a 3D CNN model to predict the effective diffusivity of porous medium with sample structure information self-amplification approach
https://t.co/sQu8WAf8uQ
Our special issue on Application of #AI in Advanced Energy Storage Technologies is open for submission! Meet our amazing international guest editors at https://t.co/sxILJJ31Td
Prof Mingfa Yao from @TJU1895 and his team have reported a large eddy simulation of spray combustion using flamelet generated manifolds combined with artificial neural networks. The code for ANN implemented in PyTorch is available in open access! https://t.co/N6eTrYl7y1
As a new journal, @EnergyandAI put #Inclusion & #Diversity at the heart of its development. I am extremely honoured to work with @RaffaellaOcone and Nada Zamel to co-editor the special issue on I&D approach to Energy and AI. All papers will be open access with APC waived.
Prof Rui Ma from Northwestern Polytechnical University and the team have reported a particle filter and recurrent neural network fusion structure for prognostics of #fuelcells, including life estimation and short-term degradation prediction https://t.co/A4x1R1SVif
A team of researchers from @MonashUni reported a novel reinforcement learning architecture for whole-building HVAC control and demand response--achieving remarkably 20% energy saving & 50% power reductions @aliebman https://t.co/K64Efy3tJJ
Honoured to be invited. Cannot wait to share our latest research on combining deep learning with multi-physics simulation for online optimisation of #fuelcell https://t.co/A3Xx9xt8pb
Our second Online Symposium will be co-hosted with
@Joule_CP! Three recent authors of @Joule_CP &
@ENERGYandAI will present the latest developments and breakthroughs at the interface between #energy and #AI. Free Registration: https://t.co/2ooXxh6OvD
How can we start our frozen fuel cell car🚗 in a cold winter morning ❄️⛄️❄️ within 30 seconds? Our @NewtonFund project led by @Kui_Jiao and myself has developed a simulation tool to help understand and solve the problem.
https://t.co/YDnPS0vyB3
Our EiC Prof Jin and Editor @Kui_Jiao were recently invited to provide a Preview in @Joule_CP to highlight one of the paper in our inaugural volume:
Charging Infrastructure Intellectualization and Future of Different Automotive Powertrains
https://t.co/Dlxw47Xz96
"AI is an emerging technology already starting to transform the global economy and society. Energy is the sector where drastic changes are urgently needed for future sustainability and decarbonization"
Let's put the two together :-)
https://t.co/yvINB802wA
@ElsevierEnergy
Our Editor @RaffaellaOcone recently discussed #ethics in #engineering and the role of responsible technology. We hope our journal as the natural platform for researches linked to the ethics, responsibility and info-politics of energy and AI to be voiced https://t.co/xDLe8CEt4X
1st paper in our Volume 2 is from the Big Data Enterprise and AI Laboratory @UWEBristol & their collaborators: A genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings
https://t.co/2yKcOxUvte