ECD-UY, detailed household electricity consumption dataset of Uruguay

J Chavat, S Nesmachnow, J Graneri, G Alvez - Scientific Data, 2022 - nature.com
This article introduces a dataset containing electricity consumption records of residential
households in Uruguay (mostly in Montevideo). The dataset is conceived to analyze …

Computational intelligence for residential electricity consumption assessment: detecting air conditioner use in households

R Porteiro, S Nesmachnow, P Moreno-Bernal… - Sustainable Energy …, 2023 - Elsevier
This article presents an approach applying computational intelligence for detecting the use
of air conditioners in households. The main objective is determining the intensive use of air …

Electric water heater modeling for large-scale distribution power systems studies with energy storage CTA-2045 based VPP and CVR

RE Alden, H Gong, T Rooney, B Branecky, DM Ionel - Energies, 2023 - mdpi.com
As the smart grid involves more new technologies such as electric vehicles (EVs) and
distributed energy resources (DERs), more attention is needed in research to general …

Demand–response control of electric storage water heaters based on dynamic electricity pricing and comfort optimization

ÁÁ Pardiñas, P Durán Gómez, F Echevarría Camarero… - Energies, 2023 - mdpi.com
Electric Storage Water Heaters (ESWH) are a widespread solution to supply domestic hot
water (DHW) to dwellings and other applications. The working principle of these units makes …

A computational intelligence approach for solar photovoltaic power generation forecasting

S Nesmachnow, C Risso - Renewable Energies, 2024 - journals.sagepub.com
This article describes an approach applying computational intelligence methods for the
problem of forecasting solar photovoltaic power generation at country level. Precise forecast …

Characterization of Household Electricity Consumption in Uruguay

P Llagueiro, R Porteiro, S Nesmachnow - Ibero-American Congress of …, 2023 - Springer
This article presents a study to characterize the electricity consumption in residential
buildings in Uruguay. Understanding residential electricity consumption is a relevant …

Detecting air conditioning usage in households using unsupervised machine learning on smart meter data

R Porteiro, S Nesmachnow - Ibero-American Congress of Smart Cities, 2022 - Springer
This article presents an unsupervised machine learning approach for the problem of
detecting use of air conditioning in households, during the summer. This is a relevant …

Energy-Aware Smart Home Planning: A Real Case Study in Montevideo, Uruguay

DG Rossit, S Nesmachnow - Ibero-American Congress of Smart Cities, 2021 - Springer
This article presents an approach for energy-aware smart home planning via direct control
and planning of residential electric appliances for smart cities. Energy-aware planning is a …

[引用][C] Caracterización del consumo eléctrico residencial en Uruguay: Análisis de datos de consumo eléctrico y aplicación de técnicas de inteligencia computacional …

JP Chavat Pérez - 2023 - Udelar. FI.