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Showing results for ISSN matching 2666-5468

Methodology for ranking controllable parameters to enhance operation of a steam generator with a combined Artificial Neural Network and Design of Experiments approach

JOURNAL ARTICLE published March 2021 in Energy and AI

Authors: Lara Werncke Vieira | Augusto Delavald Marques | Paulo Smith Schneider | Antônio José da Silva Neto | Felipe Antonio Chegury Viana | Madhat Abdel-jawad | Julian David Hunt | Julio Cezar Mairesse Siluk

https://doi.org/10.1016/j.egyai.2020.100040 Actions

Machine learning based techno-economic process optimisation for CO2 capture via enhanced weathering

JOURNAL ARTICLE published April 2023 in Energy and AI

Research funded by Engineering and Physical Sciences Research Council (EP/V011863/1,EP/V042432/1) | National Natural Science Foundation of China (21978118)

Authors: Hai Jiang | Shuo Wang | Lei Xing | Valerie J. Pinfield | Jin Xuan

https://doi.org/10.1016/j.egyai.2023.100234 Actions

Selecting decision trees for power system security assessment

JOURNAL ARTICLE published December 2021 in Energy and AI

Authors: Al-Amin B. Bugaje | Jochen L. Cremer | Mingyang Sun | Goran Strbac

https://doi.org/10.1016/j.egyai.2021.100110 Actions

Editorial Board

JOURNAL ARTICLE published March 2021 in Energy and AI

https://doi.org/10.1016/s2666-5468(21)00015-x Actions

Transfer learning of deep neural networks for predicting thermoacoustic instabilities in combustion systems

JOURNAL ARTICLE published September 2021 in Energy and AI

Authors: Sudeepta Mondal | Ashesh Chattopadhyay | Achintya Mukhopadhyay | Asok Ray

https://doi.org/10.1016/j.egyai.2021.100085 Actions

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

https://doi.org/10.1016/j.egyai.2023.100256 Actions

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

https://doi.org/10.1016/j.egyai.2024.100338 Actions

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

https://doi.org/10.1016/j.egyai.2024.100343 Actions

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

https://doi.org/10.1016/j.egyai.2023.100306 Actions

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

https://doi.org/10.1016/j.egyai.2023.100252 Actions

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

https://doi.org/10.1016/j.egyai.2020.100036 Actions

Separable Shadow Hamiltonian Hybrid Monte Carlo for Bayesian Neural Network Inference in wind speed forecasting

JOURNAL ARTICLE published December 2021 in Energy and AI

Authors: Rendani Mbuvha | Wilson Tsakane Mongwe | Tshilidzi Marwala

https://doi.org/10.1016/j.egyai.2021.100108 Actions

An explainable AI model for power plant NOx emission control

JOURNAL ARTICLE published January 2024 in Energy and AI

Authors: Yuanye Zhou | Ioanna Aslanidou | Mikael Karlsson | Konstantinos Kyprianidis

https://doi.org/10.1016/j.egyai.2023.100326 Actions

Numerical Investigation of a modified Kalina cycle system for high-temperature application and genetic algorithm based optimization of the multi-phase expander's inlet condition

JOURNAL ARTICLE published December 2021 in Energy and AI

Authors: Mohammad Masrur Hossain | Md. Sakib Hossain | Niyaz Afnan Ahmed | M Monjurul Ehsan

https://doi.org/10.1016/j.egyai.2021.100117 Actions

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

https://doi.org/10.1016/j.egyai.2024.100351 Actions

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

https://doi.org/10.1016/j.egyai.2024.100347 Actions

Site adaptation with machine learning for a Northern Europe gridded global solar irradiance product

JOURNAL ARTICLE published January 2024 in Energy and AI

Authors: Sebastian Zainali | Dazhi Yang | Tomas Landelius | Pietro Elia Campana

https://doi.org/10.1016/j.egyai.2023.100331 Actions

Coaxial multi-criteria optimization of a methane steam reforming reactor for effective hydrogen production and thermal management

JOURNAL ARTICLE published July 2023 in Energy and AI

Research funded by Narodowa Agencja Wymiany Akademickiej (BPI/PST/2021/1/00023)

Authors: Marcin Pajak | Grzegorz Brus | Shinji Kimijima | Janusz S. Szmyd

https://doi.org/10.1016/j.egyai.2023.100264 Actions

A data-driven approach for predicting long-term degradation of a fleet of micro gas turbines

JOURNAL ARTICLE published June 2021 in Energy and AI

Authors: Tomas Olsson | Enislay Ramentol | Moksadur Rahman | Mark Oostveen | Konstantinos Kyprianidis

https://doi.org/10.1016/j.egyai.2021.100064 Actions

A review: Challenges and opportunities for artificial intelligence and robotics in the offshore wind sector

JOURNAL ARTICLE published May 2022 in Energy and AI

Authors: Daniel Mitchell | Jamie Blanche | Sam Harper | Theodore Lim | Ranjeetkumar Gupta | Osama Zaki | Wenshuo Tang | Valentin Robu | Simon Watson | David Flynn

https://doi.org/10.1016/j.egyai.2022.100146 Actions
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