[HTML][HTML] Artificial intelligence for electricity supply chain automation
Abstract The Electricity Supply Chain is a system of enabling procedures to optimize
processes ranging from production to transportation and consumption of electricity. The …
processes ranging from production to transportation and consumption of electricity. The …
A brief overview of solar and wind-based green hydrogen production systems: Trends and standardization
Coupling water electrolyzers with solar and wind sources may be a promising solution in the
near future for utilizing excess renewable energy. Indeed, many researchers have …
near future for utilizing excess renewable energy. Indeed, many researchers have …
[HTML][HTML] Machine learning for forecasting a photovoltaic (PV) generation system
To mitigate the carbon print of buildings, they should have on-site renewable energy
generation systems to supply energy for the buildings without relying on the national grid …
generation systems to supply energy for the buildings without relying on the national grid …
[HTML][HTML] A systematic study on reinforcement learning based applications
K Sivamayil, E Rajasekar, B Aljafari, S Nikolovski… - Energies, 2023 - mdpi.com
We have analyzed 127 publications for this review paper, which discuss applications of
Reinforcement Learning (RL) in marketing, robotics, gaming, automated cars, natural …
Reinforcement Learning (RL) in marketing, robotics, gaming, automated cars, natural …
[HTML][HTML] A review of green hydrogen production based on solar energy; techniques and methods
The study examines the methods for producing hydrogen using solar energy as a catalyst.
The two commonly recognised categories of processes are direct and indirect. Due to the …
The two commonly recognised categories of processes are direct and indirect. Due to the …
A comprehensive review of AI-enhanced smart grid integration for hydrogen energy: Advances, challenges, and future prospects
M SaberiKamarposhti, H Kamyab, S Krishnan… - International Journal of …, 2024 - Elsevier
The convergence of hydrogen energy with artificial intelligence (AI) in smart infrastructure
has significant potential to revolutionise the worldwide energy sector. This article thoroughly …
has significant potential to revolutionise the worldwide energy sector. This article thoroughly …
[HTML][HTML] Titanium-Based alloys and composites for orthopedic implants Applications: A comprehensive review
The increasing demand for orthopedic implants has driven the search for materials that
combine strength, biocompatibility, and long lifetime. Compared to stainless steel and Co-Cr …
combine strength, biocompatibility, and long lifetime. Compared to stainless steel and Co-Cr …
Operation strategy optimization of combined cooling, heating, and power systems with energy storage and renewable energy based on deep reinforcement learning
Combined cooling, heating, and power (CCHP), coupled with renewable energy generation
and energy storage can achieve a low-carbon, multi-energy complementary, and flexible …
and energy storage can achieve a low-carbon, multi-energy complementary, and flexible …
[HTML][HTML] Short-term regional wind power forecasting based on spatial–temporal correlation and dynamic clustering model
Short-term regional wind power forecasting (WPF) is essential for enhancing the power
grid's robustness. In the field of regional short-term power forecasting, numerical weather …
grid's robustness. In the field of regional short-term power forecasting, numerical weather …
Dynamic pricing and energy management of hydrogen-based integrated energy service provider considering integrated demand response with a bi-level approach
Q Wu, C Li - Journal of Energy Storage, 2023 - Elsevier
Integrated energy system with a large-scale integration of renewable energy has witnessed
an enormous growth recently. Besides, traditional electric demand response has gradually …
an enormous growth recently. Besides, traditional electric demand response has gradually …