A Tale of Nickel-Iron Batteries: Its Resurgence in the Age of Modern Batteries

JME Abarro, JNL Gavan, DED Loresca, MAA Ortega… - Batteries, 2023 - mdpi.com
The nickel-iron (Ni-Fe) battery is a century-old technology that fell out of favor compared to
modern batteries such as lead–acid and lithium-ion batteries. However, in the last decade …

[HTML][HTML] Optimization and control of solar-wind islanded hybrid microgrid by using heuristic and deterministic optimization algorithms and fuzzy logic controller

SA Shezan, MF Ishraque, GM Shafiullah, I Kamwa… - Energy reports, 2023 - Elsevier
The increasing interest in renewable energy-based power systems globally is driven by their
abundance and environmentally friendly attributes. Islanded hybrid microgrid systems …

Optimal planning of hybrid power systems under economic variables and different climatic regions: A case study of Türkiye

Z Ozturk, M Terkes, A Demirci - Renewable Energy, 2024 - Elsevier
Renewable energy-based hybrid power systems (HPS), proposed based on demand in the
transition to clean energy-indexed societies, are high-potential investments. However, cost …

[PDF][PDF] Advancing AI-Enabled Techniques in Energy System Modeling: A Review of Data-Driven, Mechanism-Driven, and Hybrid Modeling Approaches

Y Lin, J Tang, J Guo, S Wu, Z Li - Energies, 2025 - researchgate.net
Artificial intelligence (AI) is increasingly essential for optimizing energy systems, addressing
the growing complexity of energy management, and supporting the integration of diverse …

Optimization scheduling of off-grid hybrid renewable energy systems based on dung beetle optimizer with convergence factor and mathematical spiral

X Liu, JS Wang, SB Zhang, XY Guan, YZ Gao - Renewable Energy, 2024 - Elsevier
With the rapid development of renewable energy and the increasing modernization
demands in remote areas, off-grid hybrid renewable energy systems (HRES) have become …

Energy-Aware Vehicle-to-Grid (V2G) Scheduling with Reinforcement Learning for Renewable Energy Integration

PP Kumar, RSS Nuvvula, CC Tan… - … on Smart Grid …, 2024 - ieeexplore.ieee.org
This research explores the significant impact of reinforcement learning (RL) on improving
the efficiency and stability of Vehicle-to-Grid (V2G) systems in the context of renewable …

A hybrid combination of EV charging stations with renewable energy sources for powering a residential community. A techno‐economic perspective

AA Mas' ud - Energy Storage, 2023 - Wiley Online Library
In this study, the performance of PV/wind/Diesel/battery schemes to satisfy the electrical load
requirements of a residential community in five Nigerian cities: Sokoto, Katsina, Dutse, Jos …

Energy storage device sizing and energy management in building‐applied photovoltaic systems considering battery degradation

M Dolatabadi, S Seyednouri… - IET Renewable …, 2024 - Wiley Online Library
This study aims to develop an optimization strategy for determining the optimal type and
capacity of batteries in a building‐applied photovoltaic system, taking into account battery …

Design optimization of a grid-tied microgrid for a residential community in southern Bangladesh

S Hasan, MR Hazari, E Jahan, MA Mannan - Clean Energy, 2023 - academic.oup.com
Growing energy demand, diminishing fossil fuel reserves and geopolitical tensions are
serious concerns for any country's energy strategy and security. These factors have a …

Robust generation expansion planning in power grids under renewable energy penetration via honey badger algorithm

AA Abou El-Ela, RA El-Sehiemy, AM Shaheen… - Neural Computing and …, 2024 - Springer
Abstract Robust reliability Generation Expansion Planning (GEP) turns out to be a crucial
step for an efficient energy management system in a modern power grid, especially under …