Enhancing Building Energy Efficiency with IoT-Driven Hybrid Deep Learning Models for Accurate Energy Consumption Prediction
Buildings remain pivotal in global energy consumption, necessitating a focused approach
toward enhancing their energy efficiency to alleviate environmental impacts. Precise energy …
toward enhancing their energy efficiency to alleviate environmental impacts. Precise energy …
Predictive Energy Management in Internet of Things: Optimization of Smart Buildings for Energy Efficiency
DP Ruiz, RAD Vasquez, BV Jadan - Full Length Article, 2023 - americaspg.com
As energy efficiency and sustainability become paramount in the face of growing
urbanization and environmental concerns, predictive energy management in smart buildings …
urbanization and environmental concerns, predictive energy management in smart buildings …
Deep learning-based predictive modeling of building energy usage
Buildings are responsible for around 40% of the total global energy consumption and the
increase in the energy demand is staggering. Therefore, the energy demand prediction has …
increase in the energy demand is staggering. Therefore, the energy demand prediction has …
Deep Learning Applications for Residential Energy Demand Forecasting
S Alam - AI, IoT and the Fourth Industrial Revolution Review, 2024 - scicadence.com
The global paradigm shift toward energy efficiency and sustainable living necessitates
innovative approaches to energy management, particularly within residential buildings …
innovative approaches to energy management, particularly within residential buildings …
Early Energy Consumption Prediction as a Key Element in Smart City Sustainability
FV Naranjo, SM Vivar, EJ Arias, R Atassi - Full Length Article, 2023 - americaspg.com
In the era of smart cities, the pursuit of sustainability stands as a paramount goal, with
energy management playing a central role. This paper is dedicated to the exploration of …
energy management playing a central role. This paper is dedicated to the exploration of …
CNN-LSTM Based Deep Learning Application on Jetson Nano: Estimating Electrical Energy Consumption for Future Smart Homes
Smart home applications have witnessed significant advancements, expanding beyond
lighting control or remote monitoring to more sophisticated functionalities. Our study delves …
lighting control or remote monitoring to more sophisticated functionalities. Our study delves …
[HTML][HTML] A review of deep learning techniques for forecasting energy use in buildings
J Runge, R Zmeureanu - Energies, 2021 - mdpi.com
Buildings account for a significant portion of our overall energy usage and associated
greenhouse gas emissions. With the increasing concerns regarding climate change, there …
greenhouse gas emissions. With the increasing concerns regarding climate change, there …
[PDF][PDF] A Review of Deep Learning Techniques for Forecasting Energy Use in Buildings. Energies 2021, 14, 608
J Runge, R Zmeureanu - 2021 - academia.edu
Buildings account for a significant portion of our overall energy usage and associated
greenhouse gas emissions. With the increasing concerns regarding climate change, there …
greenhouse gas emissions. With the increasing concerns regarding climate change, there …
A novel approach for short-term energy forecasting in smart buildings
M Jayashankara, P Shah, A Sharma… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Efficient energy management is required for optimal energy consumption. The building
sector consumes 40% of the total global energy production and is expected to reach 50% by …
sector consumes 40% of the total global energy production and is expected to reach 50% by …
Smart building energy management using deep learning based predictions
The prediction of electricity consumption in a building is critical for recognizing the
possibilities for energy savings as a part of the digitalization of the built environment. This …
possibilities for energy savings as a part of the digitalization of the built environment. This …