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Hybrid modeling approach for precise estimation of energy production and consumption based on temperature variations
Nature
This study introduces an advanced mathematical methodology for predicting energy generation and consumption based on temperature variations.
3 weeks ago
(PDF) Machine learning for estimation of building energy consumption and performance: a review
ResearchGate
PDF | Abstract Ever growing population and progressive municipal business demands for constructing new buildings are known as the foremost...
2 weeks 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.
2 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...
10 months ago
Long Term Forecasting of Peak Demand and Annual Electricity Consumption of the West African Power Pool Interconnected Network by 2032
Science Publishing Group
This work consists of predicting maximum power demand and total energy that must transit through the WAPP interconnected network by the year 2032.
7 months ago
Estimating the energy consumption for residential buildings in semiarid and arid desert climate using artificial intelligence | Scientific Reports
Nature
This research aims to develop predictive models to estimate building energy accurately. Three commonly used artificial intelligence...
4 months ago
(PDF) Smart Meters for Smart Energy: A Review of Business Intelligence Applications
ResearchGate
This paper's novelty lies in its comprehensive exploration of the integration of BI with smart meter data.
2 weeks ago
Household electricity consumption prediction using database combinations, ensemble and hybrid modeling techniques
Nature
This research aims to increase the HEC prediction accuracy of the month-ahead prediction (MAP) model through a novel methodology approach.
1 month ago
(PDF) Optimizing Building Short-Term Load Forecasting: A Comparative Analysis of Machine Learning Models
ResearchGate
PDF | The building sector, known for its high energy consumption, needs to reduce its energy use due to rising greenhouse gas emissions.
8 months ago
7 of the Most Used Feature Engineering Techniques
Towards Data Science
Feature engineering describes the process of formulating relevant features that describe the underlying data science problem as accurately...
22 months ago