Construction of Operational Data-Driven Power Curve of a Generator by Industry 4.0 Data Analytics

Leveraging Optimized and Cleaner Production through Industry 4.0

(2021) Muhammad Saad Amjad et al.   Sustainable Production and Consumption

Artificial intelligence-based emission reduction strategy for limestone forced oxidation flue gas desulphurization system

(2020) Ghulam Moeen Uddin et al.   JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME

Modeling and Control of Supercritical and Ultra-Supercritical Power Plants: A Review

(2020) Omar Mohamed et al.   Energies

Using SCADA Data for Wind Turbine Condition Monitoring: A Systematic Literature Review

(2020) Jorge Maldonado-Correa et al.   Energies

AI techniques applied to diagnosis of vibrations failures in wind turbines

(2020) Javier Vives et al.   IEEE Latin America Transactions

Prediction of SOx–NOx emission from a coal-fired CFB power plant with machine learning: Plant data learned by deep neural network and least square support vector machine

(2020) Derrick Adams et al.   JOURNAL OF CLEANER PRODUCTION

A new generation of AI: A review and perspective on machine learning technologies applied to smart energy and electric power systems

(2019) Lefeng Cheng et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Industry 4.0 as a data-driven paradigm: a systematic literature review on technologies

(2019) Cristina Orsolin Klingenberg et al.   Journal of Manufacturing Technology Management

Heat Transfer Performance in a Superheater of an Industrial CFBC Using Fuzzy Logic-Based Methods

(2019) Krzywanski   Entropy

A General Approach in Optimization of Heat Exchangers by Bio-Inspired Artificial Intelligence Methods

(2019) Jaroslaw Krzywanski   Energies

Gas turbine performance prediction via machine learning

(2019) Zuming Liu et al.   ENERGY

Industry 4.0 based process data analytics platform: A waste-to-energy plant case study

(2019) James Clovis Kabugo et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Genetic algorithms and neural networks in optimization of sorbent enhanced H 2 production in FB and CFB gasifiers

(2018) Jaroslaw Krzywanski et al.   ENERGY CONVERSION AND MANAGEMENT

Optimized scheme in coal-fired boiler combustion based on information entropy and modified K-prototypes algorithm

(2018) Hui Gu et al.   Results in Physics

Optimization of a three-bed adsorption chiller by genetic algorithms and neural networks

(2017) J. Krzywanski et al.   ENERGY CONVERSION AND MANAGEMENT

A 1.5D model of a complex geometry laboratory scale fuidized bed clc equipment

(2017) J. Krzywanski et al.   POWDER TECHNOLOGY

Data-driven multivariate power curve modeling of offshore wind turbines

(2016) Olivier Janssens et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Wind turbines abnormality detection through analysis of wind farm power curves

(2016) Shuangyuan Wang et al.   MEASUREMENT

Modeling of a 1000MW power plant ultra super-critical boiler system using fuzzy-neural network methods

(2012) X.J. Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Monitoring Wind Farms With Performance Curves

(2012) Andrew Kusiak et al.   IEEE Transactions on Sustainable Energy

Prediction of power output of a coal-fired power plant by artificial neural network

(2009) J. Smrekar et al.   NEURAL COMPUTING & APPLICATIONS

On-line monitoring the performance of coal-fired power unit: A method based on support vector machine

(2008) Jiejin Cai et al.   APPLIED THERMAL ENGINEERING

Development of artificial neural network model for a coal-fired boiler using real plant data

(2008) J. Smrekar et al.   ENERGY