A comprehensive review on the application of artificial neural networks in building energy analysis
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 …
Neural Networks (ANNs) in BEA (Building Energy Analysis). To achieve a full coverage of …
[HTML][HTML] A comparison of machine learning algorithms for forecasting indoor temperature in smart buildings
The international community has largely recognized that the Earth's climate is changing.
Mitigating its global effects requires international actions. The European Union (EU) is …
Mitigating its global effects requires international actions. The European Union (EU) is …
Forecasting indoor temperature for smart buildings with ARIMA, SARIMAX, and LSTM: A fusion approach
The surging demand for power usage in the last two decades has increased exponentially,
mostly in the building sector, due to people's high standard of living. The energy usage of a …
mostly in the building sector, due to people's high standard of living. The energy usage of a …
[HTML][HTML] Short-term occupancy forecasting for a smart home using optimized weight updates based on ga and PSO algorithms for an LSTM network
S Mahjoub, S Labdai, L Chrifi-Alaoui, B Marhic… - Energies, 2023 - mdpi.com
In this work, we provide a smart home occupancy prediction technique based on
environmental variables such as CO 2, noise, and relative temperature via our machine …
environmental variables such as CO 2, noise, and relative temperature via our machine …
Sensor network driven novel hybrid model based on feature selection and SVR to predict indoor temperature for energy consumption optimisation in smart buildings
Energy is a vital resource for smart cities and smart buildings. Maintaining Indoor
temperature to a comfortable level requires energy consumption which comes from several …
temperature to a comfortable level requires energy consumption which comes from several …
An indoor temperature prediction framework based on hierarchical attention gated recurrent unit model for energy efficient buildings
J Song, G Xue, Y Ma, HAN Li, YU Pan, Z Hao - Ieee Access, 2019 - ieeexplore.ieee.org
Indoor temperature is an important criterion for evaluating the operation quality of district
heating systems (DHSs) and has a significant impact on improving the energy efficiency of …
heating systems (DHSs) and has a significant impact on improving the energy efficiency of …
Machine learning algorithms for pattern visualization in classification tasks and for automatic indoor temperature prediction
S Alawadi - 2018 - minerva.usc.es
This thesis explores aspects in the field of machine learning, and specifically of pattern
classification and regression or function approximation. Although there are many methods of …
classification and regression or function approximation. Although there are many methods of …
АНАЛИЗ СУЩЕСТВУЮЩИХ МЕТОДОВ ПРОГНОЗИРОВАНИЯ, ПРИМЕНЯЕМЫХ В УМНОМ ДОМЕ
ВЭ Быков - Международный журнал информационных …, 2021 - elibrary.ru
В данной работе рассмотрены методы прогнозирования, применяющиеся в системах
умного дома. Проанализированы 3 метода прогнозирования: ActiveLezi (ALZ)-метод …
умного дома. Проанализированы 3 метода прогнозирования: ActiveLezi (ALZ)-метод …