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Energy and AI
Latest Publications
TOTAL DOCUMENTS
116
(FIVE YEARS 116)
H-INDEX
5
(FIVE YEARS 5)
Published By Elsevier BV
2666-5468
Latest Documents
Most Cited Documents
Contributed Authors
Related Sources
Related Keywords
Latest Documents
Most Cited Documents
Contributed Authors
Related Sources
Related Keywords
Nanotwinning induced decreased lattice thermal conductivity of high temperature thermoelectric boron subphosphide (B12P2) from deep learning potential simulations
Energy and AI
◽
10.1016/j.egyai.2022.100135
◽
2022
◽
pp. 100135
Author(s):
Xiaona Huang
◽
Yidi Shen
◽
Qi An
Keyword(s):
Thermal Conductivity
◽
Deep Learning
◽
High Temperature
◽
Lattice Thermal Conductivity
◽
Learning Potential
◽
Boron Subphosphide
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GeoAI for detection of solar photovoltaic installations in the Netherlands
Energy and AI
◽
10.1016/j.egyai.2021.100111
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2021
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Vol 6
◽
pp. 100111
Author(s):
Bala Bhavya Kausika
◽
Diede Nijmeijer
◽
Iris Reimerink
◽
Peter Brouwer
◽
Vera Liem
Keyword(s):
The Netherlands
◽
Solar Photovoltaic
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Multi-objective optimisation with hybrid machine learning strategy for complex catalytic processes
Energy and AI
◽
10.1016/j.egyai.2021.100134
◽
2021
◽
pp. 100134
Author(s):
Xin Yee Tai
◽
Raffaella Ocone
◽
Steven D.R. Christie
◽
Jin Xuan
Keyword(s):
Machine Learning
◽
Learning Strategy
◽
Multi Objective
◽
Hybrid Machine
◽
Catalytic Processes
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Denoising and fuel spray droplet detection from light-scattered images using deep learning
Energy and AI
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10.1016/j.egyai.2021.100130
◽
2021
◽
pp. 100130
Author(s):
Veeraraghava Raju Hasti
◽
Dongyun Shin
Keyword(s):
Deep Learning
◽
Fuel Spray
◽
Spray Droplet
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Approximating multi-purpose AC optimal power flow with reinforcement trained Artificial Neural Network
Energy and AI
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10.1016/j.egyai.2021.100133
◽
2021
◽
pp. 100133
Author(s):
Zhenqi Wang
◽
Jan-Hendrik Menke
◽
Florian Schäfer
◽
Martin Braun
◽
Alexander Scheidler
Keyword(s):
Neural Network
◽
Artificial Neural Network
◽
Power Flow
◽
Optimal Power Flow
◽
Optimal Power
◽
Artificial Neural
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Confidence Estimation in the Prediction of Epithermal Neutron Resonance Self-Shielding Factors in Irradiation Samples using an Ensemble Neural Network
Energy and AI
◽
10.1016/j.egyai.2021.100131
◽
2021
◽
pp. 100131
Author(s):
Ian M. Wilkinson
◽
Ritwik R. Bhattacharjee
◽
Jenifer C. Shafer
◽
Andrew G. Osborne
Keyword(s):
Neural Network
◽
Epithermal Neutron
◽
Neutron Resonance
◽
Confidence Estimation
◽
Ensemble Neural Network
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Quantifying Key Factors for Optimised Manufacturing of Li-ion Battery Anode and Cathode via Artificial Intelligence
Energy and AI
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10.1016/j.egyai.2021.100129
◽
2021
◽
pp. 100129
Author(s):
Mona Faraji Niri
◽
Kailong Liu
◽
Geanina Apachitei
◽
Luis Roman Ramirez
◽
Michael Lain
◽
...
Keyword(s):
Artificial Intelligence
◽
Li Ion Battery
◽
Key Factors
◽
Li Ion
◽
Battery Anode
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Using physics to extend the range of machine learning models for an aerodynamic, hydraulic and combusting system: The toy model concept
Energy and AI
◽
10.1016/j.egyai.2021.100113
◽
2021
◽
Vol 6
◽
pp. 100113
Author(s):
Indranil Brahma
◽
Robert Jennings
◽
Bradley Freid
Keyword(s):
Machine Learning
◽
Learning Models
◽
Model Concept
◽
Machine Learning Models
Download Full-text
Machine learning for combustion
Energy and AI
◽
10.1016/j.egyai.2021.100128
◽
2021
◽
pp. 100128
Author(s):
Lei Zhou
◽
Yuntong Song
◽
Weiqi Ji
◽
Haiqiao Wei
Keyword(s):
Machine Learning
Download Full-text
Transfer learning in demand response: A review of algorithms for data-efficient modelling and control
Energy and AI
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10.1016/j.egyai.2021.100126
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2021
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pp. 100126
Author(s):
Thijs Peirelinck
◽
Hussain Kazmi
◽
Brida V. Mbuwir
◽
Chris Hermans
◽
Fred Spiessens
◽
...
Keyword(s):
Transfer Learning
◽
Demand Response
◽
And Control
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