An advanced framework for net electricity consumption prediction: Incorporating novel machine learning models and optimization algorithms
X Li, Z Wang, C Yang, A Bozkurt - Energy, 2024 - Elsevier
In recent years, the escalating demand for electric energy has underscored the need for
robust prediction models capable of accurately anticipating consumption patterns. The …
robust prediction models capable of accurately anticipating consumption patterns. The …
A Comprehensive Review of Building Energy Optimization Using Metaheuristic Algorithms
MA Karbasforoushha, M Khajehzadeh… - Journal of Building …, 2024 - Elsevier
This review paper investigates the progression of building energy optimization (BEO), with
particular emphasis on metaheuristic algorithms (MAs) within this field. This review …
particular emphasis on metaheuristic algorithms (MAs) within this field. This review …
Analyzing different household energy use patterns using clustering and machine learning
As the residential sector in the United States holds significant energy-saving potential,
identifying and analyzing different energy use patterns is essential for households to assess …
identifying and analyzing different energy use patterns is essential for households to assess …
An improved transient search optimization algorithm for building energy optimization and hybrid energy sizing applications
T Jearsiripongkul, MA Karbasforoushha… - Scientific Reports, 2024 - nature.com
In this paper, a new algorithm named the improved transient search optimization algorithm
(ITSOA) is utilized to solve classical test functions, optimize the consumption of building …
(ITSOA) is utilized to solve classical test functions, optimize the consumption of building …
Improving short-term photovoltaic power forecasting with an evolving neural network incorporating time-varying filtering based on empirical mode decomposition
Accurately forecasting photovoltaic power generation is essential for the efficient integration
of renewable energy into power grids. This paper presents a novel, high-accuracy …
of renewable energy into power grids. This paper presents a novel, high-accuracy …
Energy consumption prediction and household feature analysis for different residential building types using machine learning and SHAP: Toward energy-efficient …
US residential buildings account for a significant share of national energy consumption,
highlighting their potential for energy-savings. Accurately predicting building energy …
highlighting their potential for energy-savings. Accurately predicting building energy …
Proposing hybrid prediction approaches with the integration of machine learning models and metaheuristic algorithms to forecast the cooling and heating load of …
H Dasi, Z Ying, MDFB Ashab - Energy, 2024 - Elsevier
Accurate prediction of heating and cooling loads in residential buildings is crucial for both
researchers and practitioners. This study employs advanced forecasting techniques, utilizing …
researchers and practitioners. This study employs advanced forecasting techniques, utilizing …
Enhancing residential heating load prediction with advanced machine learning and optimization techniques
M Mohebbi, S Afzal - Journal of Building Engineering, 2024 - Elsevier
The effective prediction of heating load in residential buildings is crucial for optimizing
energy consumption and enhancing thermal comfort. This study investigates three …
energy consumption and enhancing thermal comfort. This study investigates three …
Applying neural networks for short and long-term hourly electricity consumption forecasting in universities: A simultaneous approach for energy management
Predictive models for energy consumption are increasingly relevant for buildings with
medium-high demands, such as public buildings. These models enable effective energy …
medium-high demands, such as public buildings. These models enable effective energy …
Multi-objective optimization of automotive seat frames using machine learning
H Chen, P Yu, J Long - Advances in Engineering Software, 2025 - Elsevier
The optimal design of automobile seats plays an important role in passenger safety in high-
speed accidents. In order to enhance the accuracy of the prediction of the input variables …
speed accidents. In order to enhance the accuracy of the prediction of the input variables …