Consensus-based time-series clustering approach to short-term load forecasting for residential electricity demand

K Dab, N Henao, S Nagarsheth, Y Dubé… - Energy and …, 2023 - Elsevier
Load forecasting could play a crucial role in energy management and control of buildings in
residential neighborhoods. In these areas, electricity demand is influenced by different …

A hybrid clustering approach for electrical load profiles considering weather conditions based on matrix-tensor decomposition

BS Guzmán, EB Espejo, M Elser, P Korba… - … Energy, Grids and …, 2024 - Elsevier
In modern power systems, information from different sources is metered using various
monitoring technologies such as energy consumption from Smart Meters (SM). These data …

A distributed photovoltaic short‐term power forecasting model based on lightweight AI for edge computing in low‐voltage distribution network

Y Fan, H Wu, J Lin, Z Li, L Li, X Huang… - IET Renewable …, 2024 - Wiley Online Library
Recent years, the tremendous number of distributed photovoltaic are integrated into low‐
voltage distribution network, generating a significant amount of operational data. The …

[PDF][PDF] Caractérisation électrique, thermique et comportementale hiérarchisée d'un agrégat de résidences en vue de la prévision énergétique à court terme

K Dab - 2024 - depot-e.uqtr.ca
Résumé L'efficacité de la gestion des réseaux électriques dépend grandement de la
capacité à anticiper de manière fiable et précise la consommation énergétique future. Cette …

A distributed photovoltaic short-term power forecasting model based on lightweight AI for edge computing

Y Fan, H Wu, J Lin, Z Li, L Li, X Huang… - Journal of Physics …, 2024 - iopscience.iop.org
In recent years, an immense amount of distributed photovoltaics are integrated into low-
voltage distribution network, producing a substantial volume of operational data. The …

[PDF][PDF] Load forecasting of distributed system host based on linear time series model

F Almulihi - Distrib. Process. Syst, 2022 - scholar-press.com
With the development of communication network, wireless data transmission technology is
becoming more and more important in people's daily life. As a new structure, distributed …

[PDF][PDF] AVETrends in Intelligent Technoprise Letters

MA Raj, A Mishra, GA Forest - 2024 - avepubs.com
Delving into the complex landscape of predicting employee attrition, this research embarks
on a journey to uncover employing advanced machine learning techniques to glean …

[PDF][PDF] Control Method of Complex Environmental Engineering Machinery Cooling System Integrating Deep Learning and Feature Clustering

S Sridevi - 2021 - scholar-press.com
In modern industrial production, due to the continuous development and progress of
construction machinery. In the field of construction engineering, the control of mechanical …

[引用][C] Aplicación de técnicas de Inteligencia Artificial para definir una metodología de predicción de carga en transformadores MT/BT no observables

R Carmona Pardo - 2022

[引用][C] Using clustering-based load duration curves to estimate the medium-term impact of residential heat pumps on MV/LV transformers [unpublished/under review]

G Rouwhorst, PH Nguyen, A Pondes… - Sustainable Energy, Grids …, 2022 - Elsevier