Energy and AI

Title Publication Date Language Citations
Forecast electricity demand in commercial building with machine learning models to enable demand response programs2022/01/01English38
Implementation of artificial intelligence techniques in microgrid control environment: Current progress and future scopes2022/05/01English36
Overview on artificial intelligence in design of Organic Rankine Cycle2020/08/01English35
A modeling and experimental study of capacity fade for lithium-ion batteries2020/11/01English35
Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings2020/11/01English35
Prediction of effective diffusivity of porous media using deep learning method based on sample structure information self-amplification2020/11/01English34
Prediction of future capacity and internal resistance of Li-ion cells from one cycle of input data2021/09/01English34
Crises and opportunities in terms of energy and AI technologies during the COVID-19 pandemic2020/08/01English34
Artificial intelligence application in a renewable energy-driven desalination system: A critical review2022/01/01English32
Review of dynamic performance and control strategy of supercritical CO2 Brayton cycle2021/09/01English32
Quantifying key factors for optimised manufacturing of Li-ion battery anode and cathode via artificial intelligence2022/01/01English32
Energy and AI2020/08/01English31
Generalised diagnostic framework for rapid battery degradation quantification with deep learning2022/08/01English30
Machine learning-based assessment of the impact of the manufacturing process on battery electrode heterogeneity2021/09/01English29
OntoPowSys: A power system ontology for cross domain interactions in an eco industrial park2020/08/01English29
Data analytics in the electricity sector – A quantitative and qualitative literature review2020/08/01English28
Study of degradation of fuel cell stack based on the collected high-dimensional data and clustering algorithms calculations2022/11/01English27
Introducing the Open Energy Ontology: Enhancing data interpretation and interfacing in energy systems analysis2021/09/01English27
A review: Challenges and opportunities for artificial intelligence and robotics in the offshore wind sector2022/05/01English26
Deep anomaly detection in horizontal axis wind turbines using Graph Convolutional Autoencoders for Multivariate Time series2022/05/01English26
Response surface methodology-based parameter optimization of single-cylinder diesel engine fueled with graphene oxide dosed sesame oil/diesel fuel blend2022/11/01English24
Typical load profile-supported convolutional neural network for short-term load forecasting in the industrial sector2021/09/01English24
Machine learning for integrating combustion chemistry in numerical simulations2021/09/01English24
Artificial neural network based optimization of a six-step two-bed pressure swing adsorption system for hydrogen purification2021/09/01English23
Advances of machine learning in multi-energy district communities‒ mechanisms, applications and perspectives2022/11/01English22
Correlation between microstructures and macroscopic properties of nickel/yttria-stabilized zirconia (Ni-YSZ) anodes: Meso-scale modeling and deep learning with convolutional neural networks2022/01/01English22
Rule-based scheduling of air conditioning using occupancy forecasting2020/11/01English21
Development of the ignition delay prediction model of n-butane/hydrogen mixtures based on artificial neural network2020/11/01English21
Semantic 3D City Database — An enabler for a dynamic geospatial knowledge graph2021/12/01English21
Prediction of high frequency resistance in polymer electrolyte membrane fuel cells using long short term memory based model2021/03/01English21