Zobrazeno 1 - 10
of 1 475
pro vyhledávání: '"Residential electricity"'
Publikováno v:
International Journal of Energy Sector Management, 2023, Vol. 18, Issue 2, pp. 369-389.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJESM-05-2022-0012
Autor:
Dinh Hoa Nguyen
Publikováno v:
IEEE Access, Vol 12, Pp 96008-96016 (2024)
In this paper, a data-driven method is proposed for the prediction of daily residential electric consumption. The proposed method is based on the dynamic mode decomposition (DMD) approach and the moving-horizon principle, resulting in the so-called m
Externí odkaz:
https://doaj.org/article/3becea0084cb41bd9f47a224b0e334c7
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol 10, Iss 2, Pp 481-491 (2024)
The Chinese government is deepening reformation of electricity prices during the 14th Five Year Plan period and has set a carbon emission reduction target of reaching carbon peak before 2030. In this context, will the carbon emission target influence
Externí odkaz:
https://doaj.org/article/090304aa00ee415a9317c2c646aee8cc
Autor:
Pardis Asghari, Alireza Zakariazadeh
Publikováno v:
Iranian Journal of Electrical and Electronic Engineering, Vol 19, Iss 4, Pp 101-116 (2023)
This paper proposes a novel approach to analyzing and managing electricity consumption using a clustering algorithm and a high-accuracy classifier for smart meter data. The proposed method utilizes a multilayer perceptron neural network classifier op
Externí odkaz:
https://doaj.org/article/54a8c027e1cc4f74af53c7b753556851
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 4111-4121 (2023)
This study forecasts electricity consumption in a smart grid environment. We present a bottom-up prediction method using a combination of forecasting values based on time-series clustering using advanced metering infrastructure (AMI) data, one of the
Externí odkaz:
https://doaj.org/article/5a22757c87324df78422d90be7408f32
Publikováno v:
Climate Services, Vol 33, Iss , Pp 100426- (2024)
The residential sector is important for the energy transition to combat global warming. Due to the geographical variability of socio-economic factors, the highly dependent residential electricity consumption (REC) should be studied locally. This stud
Externí odkaz:
https://doaj.org/article/a905263c66de480ba9631020eb6eeeca
Autor:
Akihiro Otsuka
Publikováno v:
Data in Brief, Vol 50, Iss , Pp 109467- (2023)
This dataset's data relate to Japan's electricity consumption from 1990 to 2015. It can be used by researchers, industry practitioners, and policymakers to analyze the impact of changes in electricity prices on the demand for electricity by region in
Externí odkaz:
https://doaj.org/article/dbd8b60b876c4047aa3e3a946910a0f0
Autor:
Komlan Hector Seth Tete, Yrébégnan Moussa Soro, Samir Franck Amadou Coulibaly, Rory Victor Jones, Sayon dit Sadio Sidibé
Publikováno v:
Buildings, Vol 14, Iss 3, p 683 (2024)
This study analyses the dwelling, household, socio-economic and appliance-related determinants of urban domestic electricity use in Burkina Faso. A survey of 387 households in Ouagadougou was conducted and combined with their electricity use, collect
Externí odkaz:
https://doaj.org/article/a09e7837874d4adcade0be84727736eb
Publikováno v:
Environmental Research: Infrastructure and Sustainability, Vol 4, Iss 3, p 035008 (2024)
Changes in climate and energy technologies motivate a greater understanding of residential electricity usage and its relation to weather conditions. The recent proliferation of smart electricity meters promises an influx of new datasets spanning dive
Externí odkaz:
https://doaj.org/article/fe12e4e977a24b29a033afff11dea121
Publikováno v:
Energy Informatics, Vol 5, Iss S4, Pp 1-23 (2022)
Abstract Energy systems face challenges due to climate change, distributed energy resources, and political agenda, especially distribution system operators (DSOs) responsible for ensuring grid stability. Accurate predictions of the electricity load c
Externí odkaz:
https://doaj.org/article/dd1d97dcfbf04ee493bf9d7c28c2f1e0