[HTML][HTML] Enhanced Multi-Horizon Occupancy Prediction in Smart Buildings using Cascaded Bi-LSTM Models with Integrated Features

C Kanthila, A Boodi, A Marszal-Pomianowska… - Energy and …, 2024 - Elsevier
Accurate occupancy prediction in smart buildings is crucial for optimizing energy
management, improving occupant comfort, and effectively controlling building systems …

Modeling the occupancy rate and nights spent at tourism accommodations of Spain using autoregressive deep learning networks

D Sürekçi Yamaçlı - Journal of Hospitality and Tourism Technology, 2025 - emerald.com
Purpose The purpose of this paper is to autoregressively model the net occupancy rate of
beds and bedrooms in hotels and similar accommodations and the nights spent at these …

Mediation role of revenue management practices on the linkage between hotel determinants and financial performance of hotels in Kenya

M Murimi, B Wadongo, T Olielo - 2021 - repository.maseno.ac.ke
The study aimed at investigating the mediation role of revenue management (RM) practices
on the linkage between the internal and external hotel determinants and the financial …

[PDF][PDF] Room occupancy rate of accommodation establishments in Davao Region, Philippines: An empirical analysis

M Cano - East Asian Journal of Multidisciplinary Research, 2024 - researchgate.net
The Room Occupancy Rate (ROR) is a reliable metric for evaluating the performance of
tourism demand which also affects the accommodation establishments' performance. The …

Forecasting foreign guest nights in hill country of Sri Lanka

K Konarasinghe - … KMUB (2018). Forecasting Foreign Guest Nights …, 2018 - papers.ssrn.com
Over the past years, tourist arrivals to Sri Lanka show increasing trend. Hill Country is one of
the highest occupied regions which are located in the Central province of Sri Lanka. Hill …

Forecasting occupancy for demand driven HVAC operations using time series analysis

G Calis, SD Atalay, M Kuru, N Mutlu - Journal of Asian Architecture …, 2017 - jstage.jst.go.jp
Building heating, ventilation, and air conditioning (HVAC) systems contribute substantially to
the energy consumption of buildings. Today, traditional HVAC systems mostly operate …

[PDF][PDF] Application of time series models for heating degree day forecasting

M Kuru, G Calis - … , technology & management in construction: an …, 2020 - hrcak.srce.hr
This study aims at constructing short-term forecast models by analyzing the patterns of the
heating degree day (HDD). In this context, two different time series analyses, namely the …

[PDF][PDF] Modelling the Employment in Tourism–Case Study of Croatia

M Mamula, K Duvnjak - International journal of business …, 2017 - researchgate.net
According to the data on the share of employees in the category Hotels and similar
accommodation in the total employees (16.6% in 2015), it can be concluded that this …

[PDF][PDF] Modelling domestic tourism in Croatia

T Baldigara - Turističko poslovanje, 2018 - pdfs.semanticscholar.org
The aim of this paper is to use extrapolative modelsin the attempt to analyse and understand
domestic tourism demand flows in Croatia. Such, more detailed and systematic studies …

[PDF][PDF] Forecasting heating degree days for energy demand modeling

M Kuru, G Calis - Creat Constr Conf, 2019 - researchgate.net
Heating degree day (HDD) is a technical index taking into consideration outdoor
temperature and average room temperature to describe the need for the heating energy …