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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...
3 months ago

A Hybrid Model for Power Consumption Forecasting Using VMD-Based the Long Short-Term Memory Neural Network

Energy consumption prediction is a popular research field in computational intelligence. However, it is difficult for general machine learning models to...
3 months ago

(PDF) Advancing Sustainable Energy Management: A Comprehensive Review of Artificial Intelligence Techniques in Building

This paper explores artificial intelligence's (AI) transformative potential in optimizing energy management within buildings, aligning with environmental...
5 months ago

A Review on Data Preprocessing Techniques Toward Efficient and Reliable Knowledge Discovery From Building Operational Data

The rapid development in data science and the increasing availability of building operational data have provided great opportunities for developing...
3 months ago

An analysis of case studies for advancing photovoltaic power forecasting through multi-scale fusion techniques

This research provides a new hybrid model for forecasting short PV power based on the fusing of multi-frequency information of different decomposition...
6 months ago

Predictive Model for Solar Insolation Using the Deep Learning Technique

Wiley Online Library

In this study, prediction performances of a regression model and deep learning-based predictive models were comparatively analyzed for the prediction of hourly...
20 months ago

Evaluation of electrical load demand forecasting using various machine learning algorithms

The energy sector heavily relies on a diverse array of machine learning algorithms for power load prediction, which plays a pivotal role in shaping policies...
3 months ago

Advancing Energy Performance Efficiency in Residential Buildings for Sustainable Design: Integrating Machine Learning and Optimized Explainable AI (AIX)

Wiley Online Library

This study, however, looked into advanced machine learning (ML) models for sustainable building design based on harnessing the potential of artificial...
4 months ago

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

This paper provides a substantial review on the four main ML approaches including artificial neural network, support vector machine, Gaussian-based regressions...
72 months ago

Developing a hybrid time-series artificial intelligence model to forecast energy use in buildings

The development of a reliable energy use prediction model is still difficult due to the inherent complex pattern of energy use data.
24 months ago