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 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 …

[HTML][HTML] A Novel Multi-Objective Hybrid Evolutionary-Based Approach for Tuning Machine Learning Models in Short-Term Power Consumption Forecasting

A Vakhnin, I Ryzhikov, H Niska, M Kolehmainen - AI, 2024 - mdpi.com
Accurately forecasting power consumption is crucial important for efficient energy
management. Machine learning (ML) models are often employed for this purpose. However …

Energy Load Forecasting Based on the Load Consumption Factors and Techniques Employed: A Review

MS Patil, M Kulkarni, MSA Patil - International Research Journal on …, 2024 - irjaeh.com
Due to the contradiction between energy production and demand in the current energy
crisis, power consumption (PC) is crucial to the world economy. Energy industry can improve …

[PDF][PDF] Дипломна кваліфікаційна робота магістра на тему: Дослідження та програмна реалізація дистанційної системи консультацій сімейного лікаря з …

РВ Спєваков - 2021 - eir.zp.edu.ua
UK: У роботі проведено аналіз медичних інформаційних систем та розроблено
дистанційну систему консультацій сімейного лікаря з урахуванням рівня ургентності …