Enhancing Room Occupancy Inference from Sparse PIR Sensor Data Using Transformer Models

This publication has 22 references indexed in Scilit:

• Building occupancy number prediction: A Transformer approach
  Building and Environment, 2023
• From time-series to 2D images for building occupancy prediction using deep transfer learning
  Engineering Applications of Artificial Intelligence, 2023
• Energy poverty in the Netherlands at the national and local level: A multi-dimensional spatial analysis
  Energy Research & Social Science, 2022
• Impact of predictor variables on the performance of future occupancy prediction: Feature selection using genetic algorithms and machine learning
  Building and Environment, 2022
• A vision-based deep learning approach for the detection and prediction of occupancy heat emissions for demand-driven control solutions
  Energy and Buildings, 2020
• A review of building occupancy measurement systems
  Energy and Buildings, 2020
• Real-time dynamic estimation of occupancy load and an air-conditioning predictive control method based on image information fusion
  Building and Environment, 2020
• Occupancy prediction through Markov based feedback recurrent neural network (M-FRNN) algorithm with WiFi probe technology
  Building and Environment, 2018
• Modeling and predicting occupancy profile in office space with a Wi-Fi probe-based Dynamic Markov Time-Window Inference approach
  Building and Environment, 2017
• Global changes in residential energy consumption
  Energy Policy, 2017