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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.
2 weeks ago
Multiple machine learning models for predicting annual energy consumption and demand of office buildings in subtropical monsoon climate | Request PDF
ResearchGate
Request PDF | Multiple machine learning models for predicting annual energy consumption and demand of office buildings in subtropical...
2 weeks 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
A Novel Decomposition and Combination Technique for Forecasting Monthly Electricity Consumption
Frontiers
With the share of electricity in total final energy consumption increasing quickly, the world is becoming increasingly dependent on electricity,...
4 months 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...
1 week 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
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) 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.
1 week 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
Improved Giza pyramids construction algorithm for Modify the deep neural network-based method for energy demand forecasting
ScienceDirect.com
This study proposes a novel energy demand forecasting technique that combines DNNs with an enhanced Giza pyramid construction methodology.
13 months ago