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Hybrid modeling approach for precise estimation of energy production and consumption based on temperature variations

This study introduces an advanced mathematical methodology for predicting energy generation and consumption based on temperature variations.
1 month ago

Machine Learning Model for Construction Time Prediction: A Case of Selected Public Building Projects in Hosanna, Ethiopia

Wiley Online Library

The duration of a construction project is a vital factor to consider before the commencement of the new project.
3 months ago

(PDF) Short-Term Load Forecasting Based on a Semi-Parametric Additive Model

In this paper, semi-parametric additive models are proposed to estimate the relationships between demand and the driver variables.
1 month ago

A Novel Decomposition and Combination Technique for Forecasting Monthly Electricity Consumption

With the share of electricity in total final energy consumption increasing quickly, the world is becoming increasingly dependent on electricity,...
5 months ago

A novel deep-learning framework for short-term prediction of cooling load in public buildings

ScienceDirect.com

A gated multi-head temporal convolution network (GMTCN) is designed. •. A novel framework is constructed by integrating GMTCN and improved...
11 months ago

Estimating the energy consumption for residential buildings in semiarid and arid desert climate using artificial intelligence | Scientific Reports

This research aims to develop predictive models to estimate building energy accurately. Three commonly used artificial intelligence...
5 months ago

(PDF) Machine learning for estimation of building energy consumption and performance: a review

PDF | Abstract Ever growing population and progressive municipal business demands for constructing new buildings are known as the foremost...
1 month ago

Household electricity consumption prediction using database combinations, ensemble and hybrid modeling techniques

Household electricity consumption (HEC) is changing over time, depends on multiple factors, and leads to effects on the prediction accuracy...
2 months ago

(PDF) Optimizing Building Short-Term Load Forecasting: A Comparative Analysis of Machine Learning Models

PDF | The building sector, known for its high energy consumption, needs to reduce its energy use due to rising greenhouse gas emissions.
9 months ago

Machine learning-based energy management and power forecasting in grid-connected microgrids with multiple distributed energy sources

This paper explores the use of advanced machine learning algorithms, specifically Support Vector Regression (SVR), to enhance the efficiency and reliability of...
3 months ago