Hybrid machine learning system to forecast electricity consumption of smart grid-based air conditioners
This study develops a hybrid prediction system to forecast 1-day-ahead electricity
consumption of air conditioners in office spaces. The hybrid system combines a linear …
consumption of air conditioners in office spaces. The hybrid system combines a linear …
GA-BiLSTM: an intelligent energy prediction and optimization approach for individual home appliances
Energy consumption of residential buildings is rising rapidly with population growth and
increased utilization of electrical appliances. So far, accurate energy forecasting is an …
increased utilization of electrical appliances. So far, accurate energy forecasting is an …
Heating and cooling loads forecasting for residential buildings based on hybrid machine learning applications: A comprehensive review and comparative analysis
A Moradzadeh, B Mohammadi-Ivatloo, M Abapour… - Ieee …, 2021 - ieeexplore.ieee.org
Prediction of building energy consumption plays an important role in energy conservation,
management, and planning. Continuously improving and enhancing the performance of …
management, and planning. Continuously improving and enhancing the performance of …
[HTML][HTML] Forecasting household electric appliances consumption and peak demand based on hybrid machine learning approach
Abstract Machine learning approaches have diverse applications in forecasting electrical
energy consumption using smart meter data. Various classification techniques and …
energy consumption using smart meter data. Various classification techniques and …
Smart energy forecasting strategy with four machine learning models for climate-sensitive and non-climate sensitive conditions
Developing a reliable and robust algorithm for accurate energy demand prediction is
indispensable for utility companies for various applications, eg, power dispatching, market …
indispensable for utility companies for various applications, eg, power dispatching, market …
Machine learning-based short-term prediction of air-conditioning load through smart meter analytics
The present paper is focused on short-term prediction of air-conditioning (AC) load of
residential buildings using the data obtained from a conventional smart meter. The AC load …
residential buildings using the data obtained from a conventional smart meter. The AC load …
Reconstituted data-driven air conditioning energy consumption prediction system employing occupant-orientated probability model as input and swarm intelligence …
C Zhang, L Ma, X Han, T Zhao - Energy, 2024 - Elsevier
With recent energy and environmental crises, the energy consumption prediction of air
conditioning (AC) is essential. Notably, existing general prediction systems use the air …
conditioning (AC) is essential. Notably, existing general prediction systems use the air …
Prediction of air-conditioning energy consumption in R&D building using multiple machine learning techniques
JM Liao, MJ Chang, LM Chang - Energies, 2020 - mdpi.com
With the global increase in demand for energy, energy conservation of research and
development buildings has become of primary importance for building owners. Knowledge …
development buildings has become of primary importance for building owners. Knowledge …
[HTML][HTML] A self-adaptive deep learning model for building electricity load prediction with moving horizon
X Luo, LO Oyedele - Machine Learning with Applications, 2022 - Elsevier
A self-adaptive deep learning model powered by ranking selection-based particle swarm
optimisation (RSPSO) is developed to predict electricity load in buildings with moving …
optimisation (RSPSO) is developed to predict electricity load in buildings with moving …
Data-driven load forecasting of air conditioners for demand response using levenberg–marquardt algorithm-based ANN
Air Conditioners (AC) impact in overall electricity consumption in buildings is very high.
Therefore, controlling ACs power consumption is a significant factor for demand response …
Therefore, controlling ACs power consumption is a significant factor for demand response …