[HTML][HTML] Recent advances on energy management and control of direct current microgrid for smart cities and industry: A Survey

S Ferahtia, A Houari, T Cioara, M Bouznit, H Rezk… - Applied Energy, 2024 - Elsevier
Recently, the intent to use microgrid (MG) technology for urban, residential, and industrial
applications has significantly increased. Thanks to the integration of shared storage …

Energy management in citizen energy communities: A flexibility-constrained robust optimization approach considering prosumers comfort

H Ghasemnejad, M Rashidinejad, A Abdollahi… - Applied Energy, 2024 - Elsevier
Abstract Citizen Energy Communities (CECs) have emerged as a promising solution with
numerous benefits for society. CECs have contributed to a higher adoption rate of …

[HTML][HTML] A new methodology for reducing carbon emissions using multi-renewable energy systems and artificial intelligence

BN Alhasnawi, SMM Almutoki, FFK Hussain… - Sustainable Cities and …, 2024 - Elsevier
Microgrid cost management is a significant difficulty because the energy generated by
microgrids is typically derived from a variety of renewable and non-renewable sources …

Precise parameter identification of a PEMFC model using a robust enhanced salp swarm algorithm

S Saidi, S Marrouchi, BN Alhasnawi, PK Pathak… - International Journal of …, 2024 - Elsevier
The growing use of hydrogen as an energy carrier in the context of a renewed energy
landscape is showing very promising potential. Most notably, polymer electrolyte membrane …

[HTML][HTML] A multi-objective improved cockroach swarm algorithm approach for apartment energy management systems

BN Alhasnawi, BH Jasim, AM Jasim, V Bureš… - Information, 2023 - mdpi.com
The electrical demand and generation in power systems is currently the biggest source of
uncertainty for an electricity provider. For a dependable and financially advantageous …

[HTML][HTML] A novel efficient energy optimization in smart urban buildings based on optimal demand side management

BN Alhasnawi, BH Jasim, AN Alhasnawi… - Energy Strategy …, 2024 - Elsevier
Increasing electrical energy consumption during peak hours leads to increased electrical
energy losses and the spread of environmental pollution. For this reason, demand-side …

Uncertain parameters adjustable two-stage robust optimization of a rural housing integrated energy system considering biomass on-site utilization

F Han, Y Zhao, J Zeng, S Zhang, T Wu - Energy, 2024 - Elsevier
Rural areas will be an important component to achieve carbon neutrality. However, there are
currently issues such as an unreasonable energy consumption structure and low efficiency …

[HTML][HTML] Review on optimal power flow in a hybrid AC/DC distribution network

M Altorok, A Ukil, NKC Nair, R Rayudu - Electric Power Systems Research, 2024 - Elsevier
With the increasing of DC loads in the distribution networks and calls for carbon emission
reduction, the hybrid AC/DC distribution network (HDN) is a profound solution to increase …

Flexible demand-side management program in accordance with the consumers' requested constraints

A Atefi, V Gholaminia - Energy and Buildings, 2024 - Elsevier
Increasing electrical energy consumption during peak hours leads to increased electrical
energy losses and the spread of environmental pollution. For this reason, demand-side …

Interpretable multi-graph convolution network integrating spatio-temporal attention and dynamic combination for wind power forecasting

Y Zhao, H Liao, S Pan, Y Zhao - Expert Systems with Applications, 2024 - Elsevier
Graph neural networks (GNN) can effectively improve wind power forecasting accuracy due
to their ability to capture spatial correlations between wind farms. However, conventional …