JournalTOCs

Energy and AI
Number of Followers: 4

This is an Open Access Journal

Open Access journal
ISSN (Online) 2666-5468
Published by Elsevier

[2974 journals]

Combined peak reduction and self-consumption using proximal policy
optimization
- Abstract: Publication date: Available online 22 November 2023Source: Energy and AIAuthor(s): Thijs Peirelinck, Chris Hermans, Fred Spiessens, Geert Deconinck
CWGAN-GP with Residual Network Model for Lithium-ion Battery Thermal Image
Data Expansion with Quantitative Metrics
- Abstract: Publication date: Available online 20 November 2023Source: Energy and AIAuthor(s): Fengshuo Hu, Chaoyu Dong, Luyu Tian, Yunfei Mu, Xiaodan Yu, Hongjie Jia
Reviewing 40 years of artificial intelligence applied to power systems –
a taxonomic perspective
- Abstract: Publication date: Available online 19 November 2023Source: Energy and AIAuthor(s): F. Heymann, H. Quest, T. Lopez Garcia, C. Ballif, M. Galus
A machine learning framework for remaining useful lifetime prediction of
li-ion batteries using diverse neural networks
- Abstract: Publication date: January 2024Source: Energy and AI, Volume 15Author(s): Junghwan Lee, Huanli Sun, Yongshan Liu, Xue Li
Identifying representative days of solar irradiance and wind speed in
Brazil using machine learning techniques
- Abstract: Publication date: Available online 10 November 2023Source: Energy and AIAuthor(s): Rafaela Ribeiro, Bruno Fanzeres
Development and assessment of artificial neural network models for direct
normal solar irradiance forecasting using operational numerical weather
prediction data
- Abstract: Publication date: Available online 10 November 2023Source: Energy and AIAuthor(s): Sara Pereira, Paulo Canhoto, Rui Salgado
AI-enabled Materials Discovery for Advanced Ceramic Electrochemical Cells
- Abstract: Publication date: Available online 9 November 2023Source: Energy and AIAuthor(s): Idris Temitope Bello, Ridwan Taiwo, Oladapo Christopher Esan, Adesola Habeeb Adegoke, Ahmed Ijaola, Zheng Li, Siyuan Zhao, Wang Chen, Zongping Shao, Meng Ni
Synthetic demand data generation for individual electricity consumers:
Inpainting
- Abstract: Publication date: January 2024Source: Energy and AI, Volume 15Author(s): Dascha Dobrovolskij, Hans-Georg Stark
Total Process of Fault Diagnosis for Wind Turbine Gearbox, from the
Perspective of Combination with Feature Extraction and Machine Learning: A
Review
- Abstract: Publication date: Available online 5 November 2023Source: Energy and AIAuthor(s): Xinhua Xu, Xinyu Huang, Haibin Bian, Jiani Wu, Chen Liang, Feiyun Cong
Enhancing Hourly Heat Demand Prediction through Artificial Neural
Networks: A National Level Case Study
- Abstract: Publication date: Available online 4 November 2023Source: Energy and AIAuthor(s): Meng Zhang, Michael-Allan Millar, Si Chen, Yaxing Ren, Zhibin Yu, James Yu
Development and evaluation of a vision driven sensor for estimating fuel
feeding rates in combustion and gasification processes
- Abstract: Publication date: Available online 4 November 2023Source: Energy and AIAuthor(s): Yngve Ögren, Alexey Sepman, Ehsan Fooladgar, Fredrik Weiland, Henrik Wiinikka
Development of surrogate-optimization models for a novel transcritical
power cycle integrated with a small modular reactor
- Abstract: Publication date: Available online 21 October 2023Source: Energy and AIAuthor(s): Yili Zhang, Jacob Bryan, Geordie Richards, Hailei Wang
Energy management of buildings with energy storage and solar photovoltaic:
- Abstract: Publication date: Available online 20 October 2023Source: Energy and AIAuthor(s): Akhtar Hussain, Petr Musilek
Effective thermal conductivity estimation using a convolutional neural
network and its application in topology optimization
- Abstract: Publication date: Available online 19 October 2023Source: Energy and AIAuthor(s): Andre Adam, Huazhen Fang, Xianglin Li
α 2 -LSTM+and+AES-128+cryptography&rft.title=Energy+and+AI&rft.issn=2666-5468&rft.date=&rft.volume=">Secure and efficient prediction of electric vehicle charging demand using
α 2 -LSTM and AES-128 cryptography
- Abstract: Publication date: Available online 18 October 2023Source: Energy and AIAuthor(s): Manish Bharat, Ritesh Dash, K. Jyotheeswara Reddy, A.S.R. Murty, Dhanamjayulu C., S.M. Muyeen
VISION-iT: A Framework for Digitalizing Bubbles and Droplets
- Abstract: Publication date: Available online 18 October 2023Source: Energy and AIAuthor(s): Youngjoon Suh, Sanghyeon Chang, Peter Simadiris, Tiffany B. Inouye, Muhammad Jahidul Hoque, Siavash Khodakarami, Chirag Kharangate, Nenad Miljkovic, Yoonjin Won
Generation of meaningful synthetic sensor data — Evaluated with a
reliable transferability methodology
- Abstract: Publication date: Available online 13 October 2023Source: Energy and AIAuthor(s): Michael Meiser, Benjamin Duppe, Ingo Zinnikus
Towards Next Generation Internet of Energy System: Framework and Trends
- Abstract: Publication date: Available online 1 October 2023Source: Energy and AIAuthor(s): 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
Lean and interpretable digital twins for building energy monitoring – A
case study with Smart Thermostatic Radiator Valves and Gas Absorption Heat
Pumps
- Abstract: Publication date: Available online 26 September 2023Source: Energy and AIAuthor(s): Massimiliano Manfren, Patrick AB James, Victoria Aragon, Lamberto Tronchin
Machine Learning Super-Resolution of Laboratory CT Images in
- Abstract: Publication date: Available online 25 September 2023Source: Energy and AIAuthor(s): M. Kodama, A. Takeuchi, M. Uesugi, S. Hirai
Integrated Multi-Head Self-Attention Transformer model for electricity
demand prediction incorporating local climate variables
- Abstract: Publication date: Available online 23 September 2023Source: Energy and AIAuthor(s): Sujan Ghimire, Thong Nguyen-Huy, Mohanad S. AL-Musaylh, Ravinesh C. Deo, David Casillas-Pérez, Sancho Salcedo-Sanz
Application of machine learning to assess people's perception of household
energy in the developing world: A case of Nepal
- Abstract: Publication date: Available online 21 September 2023Source: Energy and AIAuthor(s): Utsav Bhattarai, Tek Maraseni, Laxmi Prasad Devkota, Armando Apan
Mapping of decentralised photovoltaic and solar thermal systems by remote
- Abstract: Publication date: October 2023Source: Energy and AI, Volume 14Author(s): Johan Lindahl, Robert Johansson, David Lingfors
A comparative evaluation of Stacked Auto-Encoder neural network and
Multi-Layer Extreme Learning machine for detection and classification of
faults in transmission lines using WAMS data
- Abstract: Publication date: Available online 16 September 2023Source: Energy and AIAuthor(s): Ani Harish, Prince Asok, Jayan M.V.
Passivating contact-based tunnel junction Si solar cells using machine
learning for tandem cell applications
- Abstract: Publication date: October 2023Source: Energy and AI, Volume 14Author(s): HyunJung Park, Audrey Morisset, Munho Kim, Hae-Seok Lee, Aïcha Hessler-Wyser, Franz-Josef Haug, Christophe Ballif
Safe operation of online learning data driven model predictive control of
building energy systems
- Abstract: Publication date: Available online 3 September 2023Source: Energy and AIAuthor(s): Phillip Stoffel, Patrick Henkel, Martin Rätz, Alexander Kümpel, Dirk Müller
A novel forecasting approach to schedule aggregated electric vehicle
charging
- Abstract: Publication date: Available online 31 August 2023Source: Energy and AIAuthor(s): Nico Brinkel, Lennard Visser, Wilfried van Sark, Tarek AlSkaif
Evaluating the effects of the COVID-19 pandemic on electricity consumption
patterns in the residential, public, commercial and industrial sectors in
Sweden
- Abstract: Publication date: Available online 29 August 2023Source: Energy and AIAuthor(s): Vera van Zoest, Karl Lindberg, Fouad El Gohary, Cajsa Bartusch
Substation rotational object detection based on multi-scale feature fusion
and refinement
- Abstract: Publication date: October 2023Source: Energy and AI, Volume 14Author(s): Bin Li, Yalin Li, Xinshan Zhu, Luyao Qu, Shuai Wang, Yangyang Tian, Dan Xu
Fit for purpose: Modeling wholesale electricity markets realistically with
multi-agent deep reinforcement learning
- Abstract: Publication date: Available online 21 August 2023Source: Energy and AIAuthor(s): Nick Harder, Ramiz Qussous, Anke Weidlich
Convolutional Neural Network to Learn Building-Shape Representations for
Early-Stage Energy Design
- Abstract: Publication date: Available online 5 August 2023Source: Energy and AIAuthor(s): Manav Mahan Singh, Ian F.C. Smith
Attention boosted autoencoder for building energy anomaly detection
- Abstract: Publication date: Available online 3 August 2023Source: Energy and AIAuthor(s): Durga Prasad Pydi, S. Advaith
Overcoming a recent impasse in the application of artificial neural
networks as solid oxide fuel cells simulator with computational topology
- Abstract: Publication date: Available online 26 July 2023Source: Energy and AIAuthor(s): Grzegorz Brus
Data-driven prediction of temperature variations in an open cathode proton
exchange membrane fuel cell stack using Koopman operator
- Abstract: Publication date: Available online 22 July 2023Source: Energy and AIAuthor(s): Da Huo, Carrie M. Hall
Using machine learning to expound energy poverty in the global south:
Understanding and predicting access to cooking with clean energy
- Abstract: Publication date: Available online 22 July 2023Source: Energy and AIAuthor(s): M.D. Mukelabai, K.G.U. Wijayantha, R.E. Blanchard
RED WoLF hybrid energy storage system: Algorithm case study and green
competition between storage heaters and heat pump
- Abstract: Publication date: October 2023Source: Energy and AI, Volume 14Author(s): Alexander Alexandrovich Shukhobodskiy, Aleksandr Zaitcev, Giuseppe Colantuono
Real-Time Temperature Prediction of Electric Machines Using Machine
Learning with Physically Informed Features
- Abstract: Publication date: Available online 13 July 2023Source: Energy and AIAuthor(s): Ryan Hughes, Xiaoze Pei, Thomas Haidinger, Christopher Vagg
Seasonal Electric Vehicle Forecasting Model Based on Machine Learning and
Deep Learning Techniques
- Abstract: Publication date: Available online 13 July 2023Source: Energy and AIAuthor(s): Heba-Allah I. ElAzab, R.A. Swief, Noha H. El-Amary, H.K. Temraz
Screening Outstanding Mechanical Properties and Low Lattice Thermal
Conductivity Using Global Attention Graph Neural Network
- Abstract: Publication date: Available online 26 June 2023Source: Energy and AIAuthor(s): Joshua Ojih, Alejandro Rodriguez, Jianjun Hu, Ming Hu
A new two-axis solar tracker based on the online optimization method:
experimental investigation and neural network modeling
- Abstract: Publication date: Available online 21 June 2023Source: Energy and AIAuthor(s): A.P. Masoumi, V. Bagherian, A.R. Tavakolpour-Saleh, E. Masoomi
Combustion and AI
- Abstract: Publication date: Available online 18 June 2023Source: Energy and AIAuthor(s): Mingfa Yao
Long short-term memory deep learning model for predicting the dynamic
performance of automotive PEMFC system
- Abstract: Publication date: Available online 17 June 2023Source: Energy and AIAuthor(s): Bowen Wang, Zijun Yang, Mingxi Ji, Jing Shan, Meng Ni, Zhongjun Hou, Jun Cai, Xin Gu, Xinjie Yuan, Zhichao Gong, Qing Du, Yan Yin, Kui Jiao
A VAE-Bayesian deep learning scheme for solar power generation forecasting
based on dimensionality reduction
- Abstract: Publication date: Available online 13 June 2023Source: Energy and AIAuthor(s): Devinder Kaur, Shama Naz Islam, Md. Apel Mahmud, Md. Enamul Haque, Adnan Anwar
Market-Based Coordination of Price-Responsive Demand Using Dantzig-Wolfe
Decomposition Method
- Abstract: Publication date: Available online 11 June 2023Source: Energy and AIAuthor(s): Foad Najafi, Matthias Fripp
Comparative techno-economic analysis of large-scale renewable energy
storage technologies
- Abstract: Publication date: Available online 7 June 2023Source: Energy and AIAuthor(s): Lincai Li, Bowen Wang, Kui Jiao, Meng Ni, Qing Du, Yanli Liu, Bin Li, Guowei Ling, Chengshan Wang
Total Harmonics Distortion Prediction at the Point of Common Coupling of
industrial load with the grid using Artificial Neural Network
- Abstract: Publication date: Available online 7 June 2023Source: Energy and AIAuthor(s): Emenike Ugwuagbo, Adeola Balogun, Biplob Ray, Adnan Anwar, Chikodili Ugwuishiwu
Deep reinforcement learning for wind and energy storage coordination in
wholesale energy and ancillary service markets
- Abstract: Publication date: Available online 7 June 2023Source: Energy and AIAuthor(s): Jinhao Li, Changlong Wang, Hao Wang
Managing power grids through topology actions: A comparative study between
advanced rule-based and reinforcement learning agents
- Abstract: Publication date: Available online 5 June 2023Source: Energy and AIAuthor(s): Malte Lehna, Jan Viebahn, Christoph Scholz, Antoine Marot, Sven Tomforde
Mathematical modeling of fuel cells fed with an electrically rechargeable
liquid fuel
- Abstract: Publication date: Available online 2 June 2023Source: Energy and AIAuthor(s): Xingyi Shi, Xiaoyu Huo, Oladapo Christopher Esan, Zhefei Pan, Liu Yun, Liang An, T.S. Zhao
An improved probabilistic load flow in distribution networks based on
clustering and Point estimate methods
- Abstract: Publication date: Available online 29 May 2023Source: Energy and AIAuthor(s): Morsal Salehi, Mohammad Mahdi Rezaei
Characteristic time scale as optimal input in Machine Learning algorithms:
Homogeneous autoignition
- Abstract: Publication date: Available online 23 May 2023Source: Energy and AIAuthor(s): Mohammed I. Radaideh, Stelios Rigopoulos, Dimitris A. Goussis
A public data-set for synchronous motor electrical faults diagnosis with
CNN and LSTM reference classifiers
- Abstract: Publication date: Available online 23 May 2023Source: Energy and AIAuthor(s): Zhenglong Sun, Ram Machlev, Qianchao Wang, Juri Belikov, Yoash Levron, Dmitry Baimel
A data-driven framework for medium-term electric vehicle charging demand
forecasting
- Abstract: Publication date: October 2023Source: Energy and AI, Volume 14Author(s): Alexander Orzechowski, Loren Lugosch, Hao Shu, Raymond Yang, Wei Li, Brett H. Meyer
Power flow forecasts at transmission grid nodes using Graph Neural
Networks
- Abstract: Publication date: October 2023Source: Energy and AI, Volume 14Author(s): Dominik Beinert, Clara Holzhüter, Josephine M. Thomas, Stephan Vogt
Combining flamelet-generated manifold and machine learning models in
simulation of a non-premixed diffusion flame
- Abstract: Publication date: October 2023Source: Energy and AI, Volume 14Author(s): Kaimeng Li, Pourya Rahnama, Ricardo Novella, Bart Somers
Integration of multi-physics and machine learning-based surrogate
modelling approaches for multi-objective optimization of deformed GDL of
PEM fuel cells
- Abstract: Publication date: October 2023Source: Energy and AI, Volume 14Author(s): Jiankang Wang, Hai Jiang, Gaojian Chen, Huizhi Wang, Lu Lu, Jianguo Liu, Lei Xing
Explainability-based Trust Algorithm for electricity price forecasting
models
- Abstract: Publication date: October 2023Source: Energy and AI, Volume 14Author(s): Leena Heistrene, Ram Machlev, Michael Perl, Juri Belikov, Dmitry Baimel, Kfir Levy, Shie Mannor, Yoash Levron
Water spatial distribution in polymer electrolyte membrane fuel cell:
Convolutional neural network analysis of neutron radiography
- Abstract: Publication date: October 2023Source: Energy and AI, Volume 14Author(s): Yiheng Pang, Yun Wang
Optimal design of wavy microchannel heat sinks based on prediction and
multi-objective optimization algorithm
- Abstract: Publication date: October 2023Source: Energy and AI, Volume 14Author(s): Yuguo Fu, Xueling Liu, Jiansheng Wang
Multi-criteria decision making for nuclear power plant selection using
fuzzy AHP: Evidence from Indonesia
- Abstract: Publication date: October 2023Source: Energy and AI, Volume 14Author(s): Ade Gafar Abdullah, Mohammad Ali Shafii, Syeilendra Pramuditya, Topan Setiadipura, Kurnia Anzhar
FedDiSC: A computation-efficient federated learning framework for power
systems disturbance and cyber attack discrimination
- Abstract: Publication date: Available online 18 May 2023Source: Energy and AIAuthor(s): Muhammad Akbar Husnoo, Adnan Anwar, Haftu Tasew Reda, Nasser Hosseinzadeh, Shama Naz Islam, Abdun Naser Mahmood, Robin Doss
Significant wave height prediction through artificial intelligent mode
decomposition for wave energy management
- Abstract: Publication date: October 2023Source: Energy and AI, Volume 14Author(s): Yaoran Chen, Dan Zhang, Xiaowei Li, Yan Peng, Chuhan Wu, Huayan Pu, Dai Zhou, Yong Cao, Jiujun Zhang
Energy efficiency and savings analysis with multirate sampling for
petrochemical process using convolutional neural network-based transfer
learning
- Abstract: Publication date: Available online 22 March 2023Source: Energy and AIAuthor(s): Chanin Panjapornpon, Santi Bardeeniz, Mohamed Azlan Hussain, Kanthika Vonvirat, Chayanit Chuay-ock
Microstructure evolution of solid oxide fuel cell anodes characterized by
persistent homology
- Abstract: Publication date: Available online 22 March 2023Source: Energy and AIAuthor(s): Piotr Pawłowski, Szymon Buchaniec, Tomasz Prokop, Hiroshi Iwai, Grzegorz Brus
Data-driven comparison of federated learning and model personalization for
electric load forecasting
- Abstract: Publication date: Available online 16 March 2023Source: Energy and AIAuthor(s): Fabian Widmer, Severin Nowak, Benjamin Bowler, Patrick Huber, Antonios Papaemmanouil
Determination of broadband atmospheric turbidity from global irradiance or
photovoltaic power data using deep neural nets
- Abstract: Publication date: Available online 15 March 2023Source: Energy and AIAuthor(s): Dax K. Matthews
Reinforcement learning building control approach harnessing imitation
learning
- Abstract: Publication date: Available online 14 March 2023Source: Energy and AIAuthor(s): Sourav Dey, Thibault Marzullo, Xiangyu Zhang, Gregor Henze
Model selection, adaptation, and combination for transfer learning in wind
and photovoltaic power forecasts
- Abstract: Publication date: Available online 14 March 2023Source: Energy and AIAuthor(s): Jens Schreiber, Bernhard Sick