Results 291 to 300 of about 361,649 (320)
Some of the next articles are maybe not open access.

Households electricity consumption analysis with data mining techniques

IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, 2016
Smart Grid improves the electricity grid infrastructure by introducing new powerful communication system between consumer and supplier. Implementation of smart meters increases the availability of detail level of consumer electricity load profile data. To improve and efficient planning and development of this new power system, a primary challenge is to
Ali, Usman   +2 more
openaire   +2 more sources

Explaining household electricity consumption using quantile regression, decision tree and artificial neural network

Energy, 2022
Jean Calvin Nsangou   +5 more
semanticscholar   +1 more source

Day-Ahead Electricity Consumption Prediction of Individual Household–Capturing Peak Consumption Pattern

IEEE Transactions on Smart Grid
Day-ahead electricity consumption forecasting for individual residential consumers, especially the peak consumption time forecasting, is essential for home energy management system.
Zhong Xia   +3 more
semanticscholar   +1 more source

A Household Electricity Consumption Algorithm with Upper Limit

2014 International Conference on Wireless Communication and Sensor Network, 2014
This paper presents a household electricity consumption algorithm, it has consumption limit warning function. The optimization objective is to automatically predict and adjust household appliances power consumption, control the total power consumption within the following thirty minutes.
Wen-Jie Jin   +3 more
openaire   +1 more source

Estimation of power consumption for household electric appliances

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02., 2002
A non-intrusive monitoring system estimates the behavior of individual electric appliances from the measurement of the total household load demand curve. The total load demand curve is measured at the entrance of the power line into the house. The power consumption of individual appliances can be estimated using several machine learning techniques by ...
H. Murata, T. Onoda
openaire   +1 more source

Smart Meters Based Household Electricity Consumption

2022 International Conference on Futuristic Technologies (INCOFT), 2022
Sultan Hamad Alsaiari   +3 more
openaire   +1 more source

Household Occupancy Detection Based on Electric Energy Consumption

2018
It is possible to detect the presence of residents in a home by monitoring its energy consumption. Currently, the state of the art provides us with a number of approaches. Some studies leverage intrusive systems which require user interaction. Others employ sensors to detect the presence of people in a non-intrusive way. In this article, we propose the
Alberto L. Barriuso   +4 more
openaire   +1 more source

Time-Series based Household Electricity Consumption Forecasting

2023 11th International Conference on Smart Grid (icSmartGrid), 2023
Anita Philips, J. Jayakumar
openaire   +1 more source

Consumer preferences for feedback on household electricity consumption

Energy and Buildings, 2011
Numerous studies have shown that feedback on energy consumption can work to effectively reduce household energy consumption. However, relatively little work has been done on the best ways to present information in order to maximise energy savings.
openaire   +3 more sources

Home - About - Disclaimer - Privacy