Residential loads flexibility potential for demand response using energy consumption patterns and user segments

M Afzalan, F Jazizadeh - Applied Energy, 2019 - Elsevier
Demand response (DR) is considered an effective approach in mitigating the ever-growing
concerns for supplying the electricity peak demand. Recent attempts have shown that the …

Classification of new electricity customers based on surveys and smart metering data

JL Viegas, SM Vieira, R Melício, VMF Mendes… - Energy, 2016 - Elsevier
This paper proposes a process for the classification of new residential electricity customers.
The current state of the art is extended by using a combination of smart metering and survey …

Unraveling electricity consumption profiles in households through clusters: Combining smart meters and door-to-door surveys

JP Gouveia, J Seixas - Energy and buildings, 2016 - Elsevier
Improvements of energy efficiency and reduction of Electricity Consumption (EC) could be
pushed by increased knowledge on consumption profiles. This paper contributes to a …

[PDF][PDF] Исследование электрических нагрузок многоквартирных жилых комплексов в период распространения новой коронавирусной инфекции

ЮИ Солуянов, АИ Федотов, АР Ахметшин… - Вопросы …, 2021 - sstu.ru
Обоснован расчет электрической мощности жилых и общественных зданий.
Установлена существенная разница между фактической и расчетной потребляемыми …

Data driven approaches for prediction of building energy consumption at urban level

G Tardioli, R Kerrigan, M Oates, OD James, D Finn - Energy Procedia, 2015 - Elsevier
The ability to predict building energy consumption in an urban environment context, using a
variety of performance metrics for different building categories and granularities, across …

Cluster-based aggregate forecasting for residential electricity demand using smart meter data

TK Wijaya, M Vasirani, S Humeau… - 2015 IEEE international …, 2015 - ieeexplore.ieee.org
While electricity demand forecasting literature has focused on large, industrial, and national
demand, this paper focuses on short-term (1 and 24 hour ahead) electricity demand …

Customer segmentation based on smart meter data analytics: Behavioral similarities with manual categorization for building types

H Komatsu, O Kimura - Energy and Buildings, 2023 - Elsevier
Among the techniques supporting information services that promote energy conservation,
clustering has been widely used for customer segmentation. However, the potential of smart …

Big data analytics for demand response: Clustering over space and time

C Chelmis, J Kolte, VK Prasanna - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
The pervasive deployment of advanced sensing infrastructure in Cyber-Physical systems,
such as the Smart Grid, has resulted in an unprecedented data explosion. Such data exhibit …

Daily electricity consumption profiles from smart meters-Proxies of behavior for space heating and cooling

JP Gouveia, J Seixas, A Mestre - Energy, 2017 - Elsevier
Daily electricity consumption profiles from smart meters are explored as proxies of active
behavior regarding space heating and cooling. The influence of the environment air …

An investigation on energy-related occupancy behavior for low-income residential buildings

B Dong, Z Li, G Mcfadden - Science and Technology for the Built …, 2015 - Taylor & Francis
Previous studies show that individuals' energy consumption tends to outweigh the technical
efficiency gains. Occupancy behavior accounts for about 30% of the variance in overall …