Short-term forecasting model for residential indoor temperature in DHS based on sequence generative adversarial network

J Song, T Bian, G Xue, H Wang, X Shen, X Wu - Applied Energy, 2023 - Elsevier
With the rapid development of the economy and the continuous improvement of people's
living conditions, building thermal comfort has become one of the essential objectives of the …

Indoor room temperature forecasting in buildings: a literature review (2001-21)

K Pandey, B Basu - Facilities, 2022 - emerald.com
Purpose Building energy management systems use important information from indoor room
temperature (IRT) forecasting to predict daily loads within smart buildings. IRT forecasting is …

A taxonomy for decision making in IoT systems

L Durán-Polanco, M Siller - Internet of Things, 2023 - Elsevier
Semantic knowledge representations in the IoT can enable the vision of autonomic
computing by providing a specification that enables interoperability and reasoning …

Prediction and Management of Building Energy Consumption Based on Building Environment Simulation Design Platform DeST and Meteorological Data Analysis …

C Bai, J Liu - Strategic Planning for Energy & the …, 2024 - search.ebscohost.com
Currently, the carbon emissions of building energy consumption account for a significant
portion of all carbon emissions. How to reduce carbon emissions to achieve carbon …

Self-supervised Representation Learning for Time Series via Temporal Contrasting and Transformation

Q Chen, M Zhao, Z Zhang - 2023 IEEE 3rd International …, 2023 - ieeexplore.ieee.org
Learning representations in widely available time series is of great significance, and
representations in time series often represent some characteristic of this phase and play an …