A review on Machine/Deep learning techniques Applied to Building Energy Simulation, optimization and management

F Villano, GM Mauro, A Pedace - Thermo, 2024 - mdpi.com
Given the climate change in recent decades and the ever-increasing energy consumption in
the building sector, research is widely focused on the green revolution and ecological …

[HTML][HTML] A meta-survey on intelligent energy-efficient buildings

MB Islam, A Guerrieri, R Gravina, G Fortino - Big Data and Cognitive …, 2024 - mdpi.com
The rise of the Internet of Things (IoT) has enabled the development of smart cities,
intelligent buildings, and advanced industrial ecosystems. When the IoT is matched with …

Numerical analysis of thermophoretic particle deposition in a magneto-Marangoni convective dusty tangent hyperbolic nanofluid flow–Thermal and magnetic features

S Li, K Ali, S Algarni, T Alqahtani, S Ahmad… - Nanotechnology …, 2024 - degruyter.com
In the current study, we focus on the Magneto-Marangoni convective flow of dusty tangent
hyperbolic nanofluid (TiO2–kerosene oil) over a sheet in the presence of thermophoresis …

ANALISIS AERODINAMIKA UNTUK DESAIN MOBIL LISTRIK JENIS KARGO MINI

AA Allah, T Mulyanto - Scientific Journal of Mechanical …, 2025 - kinematika.ulm.ac.id
As an effort to expand the development of electric vehicles, one of the steps is to design an
aerodynamic body for electric cars. An aerodynamic body design can reduce drag forces …

ЗАСТОСУВАННЯ ЗГОРТКОВИХ НЕЙРОННИХ МЕРЕЖ ДЛЯ ПРОГНОЗУВАННЯ СПОЖИВАННЯ ЕЛЕКТРОЕНЕРГІЇ

Л ГЕНТОШ, Р ЛЕВКОВИЧ - Herald of Khmelnytskyi National …, 2024 - heraldts.khmnu.edu.ua
Прогнозування енергоспоживання є критично важливим для ефективного управління
енергетичними ресурсами та зниження витрат. Незважаючи на те, що рекурентні …