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 …
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
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 …
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 …
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 …
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 …
variety of performance metrics for different building categories and granularities, across …
Cluster-based aggregate forecasting for residential electricity demand using smart meter data
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 …
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
Among the techniques supporting information services that promote energy conservation,
clustering has been widely used for customer segmentation. However, the potential of smart …
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 …
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 …
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 …
efficiency gains. Occupancy behavior accounts for about 30% of the variance in overall …