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JOURNAL ARTICLE published March 2021 in Energy and AI

Combining flamelet-generated manifold and machine learning models in simulation of a non-premixed diffusion flame

JOURNAL ARTICLE published October 2023 in Energy and AI

Research funded by Nederlandse Organisatie voor Wetenschappelijk Onderzoek (14927)

Authors: Kaimeng Li | Pourya Rahnama | Ricardo Novella | Bart Somers

Vertical power flow forecast with LSTMs using regular training update strategies

JOURNAL ARTICLE published May 2022 in Energy and AI

Authors: Katharina Brauns | Christoph Scholz | Alexander Schultz | André Baier | Dominik Jost

Energy management of buildings with energy storage and solar photovoltaic: A diversity in experience approach for deep reinforcement learning agents

JOURNAL ARTICLE published January 2024 in Energy and AI

Research funded by Natural Sciences and Engineering Research Council of Canada (RGPIN-2017-05866)

Authors: Akhtar Hussain | Petr Musilek

Semantic 3D City Agents—An intelligent automation for dynamic geospatial knowledge graphs

JOURNAL ARTICLE published May 2022 in Energy and AI

Authors: Arkadiusz Chadzynski | Shiying Li | Ayda Grisiute | Feroz Farazi | Casper Lindberg | Sebastian Mosbach | Pieter Herthogs | Markus Kraft

Reconstructing hourly residential electrical load profiles for Renewable Energy Communities using non-intrusive machine learning techniques

JOURNAL ARTICLE published January 2024 in Energy and AI

Authors: Lorenzo Giannuzzo | Francesco Demetrio Minuto | Daniele Salvatore Schiera | Andrea Lanzini

Deep learning in fault detection and diagnosis of building HVAC systems: A systematic review with meta analysis

JOURNAL ARTICLE published April 2023 in Energy and AI

Authors: Fan Zhang | Nausheen Saeed | Paria Sadeghian

Deep learning analysis of smart meter data from a small sample of room air conditioners facilitates routine assessment of their operational efficiency

JOURNAL ARTICLE published May 2024 in Energy and AI

Research funded by Research Grants Council, University Grants Committee (STG2/E-605/23-N)

Authors: Weiqi Wang | Zixuan Zhou | Sybil Derrible | Yangqiu Song | Zhongming Lu

Comparative study of univariate and multivariate strategy for short-term forecasting of heat demand density: Exploring single and hybrid deep learning models

JOURNAL ARTICLE published May 2024 in Energy and AI

Research funded by Natural Sciences and Engineering Research Council of Canada (RGPIN-05481)

Authors: Sajad Salehi | Miroslava Kavgic | Hossein Bonakdari | Luc Begnoche

The future of sustainable chemistry and process: Convergence of artificial intelligence, data and hardware

JOURNAL ARTICLE published November 2020 in Energy and AI

Authors: Xin Yee Tai | Hao Zhang | Zhiqiang Niu | Steven D.R. Christie | Jin Xuan

Development and evaluation of a vision driven sensor for estimating fuel feeding rates in combustion and gasification processes

JOURNAL ARTICLE published January 2024 in Energy and AI

Authors: Yngve Ögren | Alexey Sepman | Ehsan Fooladgar | Fredrik Weiland | Henrik Wiinikka

Temporally resolving premixed turbulent flame structures using self-supervised adversarial reconstruction of CH-PLIF

JOURNAL ARTICLE published January 2023 in Energy and AI

Research funded by Army Research Laboratory (W911NF-20–2-0220) | Office of Naval Research (N00014–21–1-2475) | Air Force Office of Scientific Research (FA9550–21–1-0072)

Authors: Ji-Hun Oh | Aaron W. Skiba | Stephen D. Hammack | Constandinos M. Mitsingas | Campbell D. Carter | Tonghun Lee

Gym-ANM: Reinforcement learning environments for active network management tasks in electricity distribution systems

JOURNAL ARTICLE published September 2021 in Energy and AI

Authors: Robin Henry | Damien Ernst

Machine learning-based assessment of the impact of the manufacturing process on battery electrode heterogeneity

JOURNAL ARTICLE published September 2021 in Energy and AI

Research funded by European Research Council (772873)

Authors: Marc Duquesnoy | Iker Boyano | Larraitz Ganborena | Pablo Cereijo | Elixabete Ayerbe | Alejandro A. Franco

Towards next generation Internet of Energy system: Framework and trends

JOURNAL ARTICLE published October 2023 in Energy and AI

Authors: Muqit Farhan | Tanzim N. Reza | Faisal R. Badal | Md. R. Islam | S M Muyeen | Z. Tasneem | Md. Mehedi Hasan | Md. F. Ali | Md. H. Ahamed | S.H. Abhi | Md. Manirul Islam | Subrata K. Sarker | Sajal K. Das | Prangon Das

Determination of broadband atmospheric turbidity from global irradiance or photovoltaic power data using deep neural nets

JOURNAL ARTICLE published October 2023 in Energy and AI

Authors: Dax K. Matthews

Microstructure evolution of Solid Oxide Fuel Cell anodes characterized by persistent homology

JOURNAL ARTICLE published October 2023 in Energy and AI

Authors: Piotr Pawłowski | Szymon Buchaniec | Tomasz Prokop | Hiroshi Iwai | Grzegorz Brus

Optimization of a photovoltaic-battery system using deep reinforcement learning and load forecasting

JOURNAL ARTICLE published May 2024 in Energy and AI

Authors: António Corte Real | G. Pontes Luz | J.M.C. Sousa | M.C. Brito | S.M. Vieira

Unraveling fundamental properties of power system resilience curves using unsupervised machine learning

JOURNAL ARTICLE published May 2024 in Energy and AI

Research funded by National Science Foundation (CMMI- 1846069)

Authors: Bo Li | Ali Mostafavi

Experimental and numerical study of water sprayed turbulent combustion: Proposal of a neural network modeling for five-dimensional flamelet approach

JOURNAL ARTICLE published September 2021 in Energy and AI

Authors: Takafumi Honzawa | Reo Kai | Kotaro Hori | Makoto Seino | Takayuki Nishiie | Ryoichi Kurose