Forecasting household energy consumption based on lifestyle data using hybrid machine learning

seidu agbor abdul rauf, AF Adekoya - Journal of Electrical Systems and …, 2023 - Springer
Household lifestyle play a significant role in appliance consumption. The overall effects are
that, it can be a determining factor in the healthy functioning of the household appliance or …

[PDF][PDF] Forecasting electricity consumption of residential users based on lifestyle data using artificial neural networks

IK Nti, M Teimeh, AF Adekoya… - ICTACT Journal on …, 2020 - researchgate.net
Electricity is the lifeline of almost everything in this 21st century. Residential electricity
consumption has seen an increase both locally and globally. Therefore, it has become a …

An Intelligent Hybrid Machine Learning Model for Sustainable Forecasting of Home Energy Demand and Electricity Price

B Parizad, H Ranjbarzadeh, A Jamali, H Khayyam - Sustainability, 2024 - mdpi.com
Home energy systems (HESs) face challenges, including high energy costs, peak load
impact, and reliability issues associated with grid connections. To address these challenges …

Forecasting residential electricity consumption using a hybrid machine learning model with online search data

F Gao, H Chi, X Shao - Applied Energy, 2021 - Elsevier
Accurate forecasting of residential electricity consumption plays an important role in
formulating energy plans and ensuring the safety of power system operations. In order to …

Prediction and Analysis of Household Energy Consumption Integrated with Renewable Energy Sources using Machine Learning Algorithms in Energy Management

N Jain, S Sharma, V Thakur, M Nutakki… - International Journal of …, 2024 - ijrer.org
The project aims to develop an Energy management system (EMS) that can adapt to
changes in the building's environment and optimize energy consumption without the need …

Uni-Variate and Multi-Variate Short-Term Household Electricity Consumption Prediction Using Machine Learning Technique

S Tyagi, P Singh - Recent Advances in Computer Science and …, 2022 - ingentaconnect.com
Background: Electricity consumption prediction plays an important role in conservation,
development, and future planning. Accurate prediction model has various field applications …

Predicting power for home appliances based on climatic conditions

J Kaur, A Bala - International Journal of Energy Sector Management, 2019 - emerald.com
Purpose Power management in households has become the periodic issue for electric
suppliers and household occupants. The number of electronic appliances is increasing day …

A framework for prediction of household energy consumption using feed forward back propagation neural network

M Fayaz, H Shah, AM Aseere, WK Mashwani, AS Shah - Technologies, 2019 - mdpi.com
Energy is considered the most costly and scarce resource, and demand for it is increasing
daily. Globally, a significant amount of energy is consumed in residential buildings, ie, 30 …

[PDF][PDF] Smart power consumption forecast model with optimized weighted average ensemble

AN Ndife, W Rakwichian… - … Journal of Artificial …, 2022 - researchgate.net
Smart power forecasting enables energy conservation and resource planning. Power
estimation through previous utility bills is being replaced with machine intelligence. In this …

[PDF][PDF] Statistical features based approach (SFBA) for hourly energy consumption prediction using neural network

F Wahid, R Ghazali, M Fayaz, AS Shah - Networks, 2017 - academia.edu
In this paper, new statistical features based approach (SFBA) for hourly energy consumption
prediction using Multi-Layer Perceptron is presented. The model consists of four stages …