[HTML][HTML] Monitoring of the power system load margin based on a machine learning technique

MEC Bento - Electrical Engineering, 2022 - Springer
The voltage stability margin is an important load margin measure used in power system
operating centers to prevent a voltage collapse. However, oscillatory problems that arise …

[HTML][HTML] A synchronous prediction model based on multi-channel CNN with moving window for coal and electricity consumption in cement calcination process

X Shi, G Huang, X Hao, Y Yang, Z Li - Sensors, 2021 - mdpi.com
The precision and reliability of the synchronous prediction of multi energy consumption
indicators such as electricity and coal consumption are important for the production …

Prediction of evapotranspiration and soil moisture in different rice growth stages through improved salp swarm based feature optimization and ensembled machine …

P Majumdar, D Bhattacharya, S Mitra - Theoretical and Applied …, 2023 - Springer
Rice cultivation demands adequate soil water balance in each growth stage and estimation
of evapotranspiration and soil moisture are the most contributing factors for determining this …

[HTML][HTML] A metaheuristic Hybrid of double-target multi-layer Perceptron for energy performance Analysis in residential buildings

C Lin, Y Lin - Buildings, 2023 - mdpi.com
Recently, metaheuristic algorithms have been recognized as applicable techniques for
solving various computational complexities in energy problems. In this work, a powerful …

A novel time-lagged logistic grey model and its application in forecasting energy production volume

H Li, G Wang, H Duan - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Scientific and accurate prediction of energy production is important for exploring energy
alternative paths, adjusting energy structure and industrial layout in a targeted manner, and …

A novel robust grey model for forecasting Chinese electricity demand

R Yao, S Jin, C Wei, J Kong - Discrete Dynamics in Nature and …, 2022 - Wiley Online Library
The grey model, which is abbreviated as GM (1, 1), has been widely applied in the fields of
decision and prediction, particularly in the prediction of time series with few observations …

A Haavelmo grey model based on economic growth and its application to energy industry investments

H Li, W Nie, H Duan - Chaos, Solitons & Fractals, 2024 - Elsevier
The energy industry is a major source of greenhouse gas emissions, and energy investment
is an important regulatory tool to encourage the energy industry to actively respond to …

[HTML][HTML] Optimization of the electrical demand of an existing building with storage management through machine learning techniques

M Cordeiro-Costas, D Villanueva, P Eguía-Oller - Applied Sciences, 2021 - mdpi.com
Featured Application The methods and models presented in this paper optimize the
management of a building's storage system by modeling and predicting electrical demand …

[HTML][HTML] An assessment on average pressure drop and dust-holding capacity of hollow-fiber membranes in air filtration

P Bulejko, O Krištof, M Dohnal - Membranes, 2021 - mdpi.com
In this work, we tried to analyze dust loading behavior of polypropylene hollow fiber
membranes using average pressure drop models. Hollow fiber membranes varying in fiber …

Enhanced renewable power and load forecasting using RF-XGBoost stacked ensemble

R Banik, A Biswas - Electrical Engineering, 2024 - Springer
The fast growth in renewable power generation, crucial for reducing carbon emissions in the
traditional energy system, is constrained by negative environmental and economic …