The appropriate application of advanced control strategies in Heating, Ventilation, and Air-
conditioning (HVAC) systems is key to improving the energy efficiency of buildings …

This paper reviews the most used thermal comfort models and indicators with their variants,
discussing their usage in control problems referring to energy management in indoor …

This paper presents a comprehensive review of the significant studies exploited Artificial
Neural Networks (ANNs) in BEA (Building Energy Analysis). To achieve a full coverage of …

Artificial neural networks (ANNs) can be used to predict energy consumption more reliably
than traditional simulation models and regression techniques. Artificial neural networks are …

In this study, a linear parametric autoregressive model with external inputs (ARX) and a
neural network-based nonlinear autoregressive model with external inputs (NNARX) are …

Due to the development of energy performance contracting and the needs for peak electric
demand reduction, the interest for building energy demand prediction is renewed. Gray-box …

This paper provides a systematic literature review on simplified building models. Questions
are answered like: What kind of modelling approaches are applied? What are their (dis) …

The paper describes the application of a combined neuro-fuzzy model for indoor
temperature dynamic and automatic regulation. The neural module of the model, an auto …

This study investigates Box–Jenkins (BJ), autoregressive with external inputs (ARX),
autoregressive moving average with external inputs (ARMAX) and output error (OE) models …

Artificial neural networks (ANNs) are nowadays accepted as an alternative technology
offering a way to tackle complex and ill-defined problems. They are not programmed in the …