Optimal sizing, control, and management strategies for hybrid renewable energy systems: A comprehensive review

AA Khan, AF Minai, RK Pachauri, H Malik - Energies, 2022 - mdpi.com
To meet the expanding energy demand, all available energy sources must be utilized.
Renewable energies are both eternal and natural, but their major downside is their …

Novel application of adaptive swarm intelligence techniques coupled with adaptive network-based fuzzy inference system in predicting photovoltaic power

MR Kaloop, A Bardhan, N Kardani, P Samui… - … and Sustainable Energy …, 2021 - Elsevier
Accurate photovoltaic (PV) power prediction is necessary for future development of the micro-
grids projects and the economic dispatch sector. This study investigates the potential of …

A multi-objective predictive energy management strategy for residential grid-connected PV-battery hybrid systems based on machine learning technique

K Shivam, JC Tzou, SC Wu - Energy Conversion and Management, 2021 - Elsevier
This paper proposes a multi-objective predictive energy management strategy based on
machine learning technique for residential grid-connected hybrid energy systems. The …

[HTML][HTML] An improved artificial ecosystem optimization algorithm for optimal configuration of a hybrid PV/WT/FC energy system

HM Sultan, AS Menesy, S Kamel, A Korashy… - Alexandria Engineering …, 2021 - Elsevier
This paper mainly focuses on the optimal design of a grid-dependent and off-grid hybrid
renewable energy system (RES). This system consists of Photovoltaic (PV), Wind Turbine …

Hybrid renewable energy systems' optimisation. a review and extended comparison of the most-used software tools

KA Kavadias, P Triantafyllou - Energies, 2021 - mdpi.com
To help stakeholders plan, research, and develop Hybrid Renewable Energy Systems
(HRES), the elaboration of numerous modelling techniques and software simulation tools …

Optimal energy management solutions using artificial intelligence techniques for photovoltaic empowered water desalination plants under cost function uncertainties

MAE Mohamed, SMR Mohamed, EMM Saied… - Ieee …, 2022 - ieeexplore.ieee.org
Two modern methods of the energy management system (EMS) based on a modified cost
function are addressed in this paper. Fuzzy logic (FL) and Harris Hawks Optimization (HHO) …

Comprehensive economic analysis and multi-objective optimization of an integrated gasification power generation cycle

Z Gao, J Miao, J Zhao, M Mesri - Process Safety and Environmental …, 2021 - Elsevier
A novel power generation plant was devised based on the biomass integrated fired
combined cycle as the central unit and supercritical CO 2 cycle, regenerative organic …

Stochastic power management strategy for hybrid energy storage systems to enhance large scale wind energy integration

L Barelli, DA Ciupageanu, A Ottaviano, D Pelosi… - Journal of energy …, 2020 - Elsevier
The strong variability of renewable energy sources (RES) often hinders their integration in
power systems. Hybrid energy storage systems (HESS), based on complementary storage …

An overview on functional integration of hybrid renewable energy systems in multi-energy buildings

L Canale, AR Di Fazio, M Russo, A Frattolillo… - Energies, 2021 - mdpi.com
Buildings are responsible for over 30% of global final energy consumption and nearly 40%
of total CO2 emissions. Thus, rapid penetration of renewable energy technologies (RETs) in …

[HTML][HTML] Maximising the benefits of renewable energy infrastructure in displacement settings: Optimising the operation of a solar-hybrid mini-grid for institutional and …

H Beath, JB Alonso, R Mori, A Gambhir… - … and Sustainable Energy …, 2023 - Elsevier
Humanitarian organisations typically rely on expensive, polluting diesel generators to
provide power for services in refugee camps, whilst camp residents often have no access to …