AI-Driven urban energy solutions—from individuals to society: a review
This paper provides a comprehensive review of solutions based on artificial intelligence (AI)
in the urban energy sector, with a focus on their applications and impacts. The study …
in the urban energy sector, with a focus on their applications and impacts. The study …
[HTML][HTML] Green Energy Management in Manufacturing Based on Demand Prediction by Artificial Intelligence—A Review
Energy efficiency in production systems and processes is a key global research topic,
especially in light of the Green Deal, Industry 4.0/5.0 paradigms, and rising energy prices …
especially in light of the Green Deal, Industry 4.0/5.0 paradigms, and rising energy prices …
Application and evaluation of the evolutionary algorithms combined with conventional neural network to determine the building energy consumption of the residential …
G Wang, A Mukhtar, H Moayedi, N Khalilpoor, Q Tt - Energy, 2024 - Elsevier
Residential uses a significant amount of energy; hence, encouraging sustainability and
lessening environmental effects requires minimizing energy consumption in this sector. This …
lessening environmental effects requires minimizing energy consumption in this sector. This …
[HTML][HTML] A Novel Optimal Planning and Operation of Smart Cities by Simultaneously Considering Electric Vehicles, Photovoltaics, Heat Pumps, and Batteries
M Shokri, T Niknam, M Sarvarizade-Kouhpaye… - Processes, 2024 - mdpi.com
A smart city (SC) includes different systems that are highly interconnected. Transportation
and energy systems are two of the most important ones that must be operated and planned …
and energy systems are two of the most important ones that must be operated and planned …
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] Optimal Scheduling of Energy Storage and Shiftable Loads in Grid-Connected Residential Buildings with Photovoltaic Micro-Installations
R Korab, M Połomski, T Naczyński - Energies, 2024 - mdpi.com
Photovoltaic (PV) systems are becoming increasingly popular, especially in residential
buildings. However, the high penetration of prosumer PV micro-installations can have a …
buildings. However, the high penetration of prosumer PV micro-installations can have a …
[HTML][HTML] A modeling framework and benchmark for end-of-life automotive traction battery pack forecasting
To meet climate targets, it is essential to establish a closed-loop system for the critical raw
materials used in lithium-ion batteries, necessitating robust planning and forecasting …
materials used in lithium-ion batteries, necessitating robust planning and forecasting …
[HTML][HTML] Advanced Deep Learning Algorithms for Energy Optimization of Smart Cities
Advanced deep learning algorithms play a key role in optimizing energy usage in smart
cities, leveraging massive datasets to increase efficiency and sustainability. These …
cities, leveraging massive datasets to increase efficiency and sustainability. These …
[HTML][HTML] An ML-Based Solution in the Transformation towards a Sustainable Smart City
Featured Application Potential applications of the work include novel ML-based systems for
sustainable smart cities and smart territory control. Abstract The rapid development of …
sustainable smart cities and smart territory control. Abstract The rapid development of …
ANN for Temperature and Irradiation Prediction and Maximum Power Point Tracking Using MRP-SMC
Currently, artificial intelligence (AI) is emerging as a dominant force in various technologies,
owing to its unparalleled efficiency. Among the plethora of AI techniques available, neural …
owing to its unparalleled efficiency. Among the plethora of AI techniques available, neural …