Prosumers as active market participants: A systematic review of evolution of opportunities, models and challenges

M Gržanić, T Capuder, N Zhang, W Huang - Renewable and Sustainable …, 2022 - Elsevier
The possibility of onsite production and flexible consumption is transforming consumers from
passive users to active service providers in power systems with the large share of renewable …

[HTML][HTML] A review on energy hubs: Models, methods, classification, applications, and future trends

AA Eladl, MI El-Afifi, MM El-Saadawi… - Alexandria engineering …, 2023 - Elsevier
Increasing environmental concerns, scarcity of fossil fuel resources, and uncontrolled
demand growth have led to upgrading and restructuring existing energy systems …

Optimal economic scheduling of microgrids considering renewable energy sources based on energy hub model using demand response and improved water wave …

W Jiang, X Wang, H Huang, D Zhang… - Journal of Energy …, 2022 - Elsevier
Unpredictable nature of renewable energy sources puts power system operators in different
conditions in terms of maintaining the system reliability. Microgrids (MGs) can provide an …

A multi-stage joint planning and operation model for energy hubs considering integrated demand response programs

SA Mansouri, A Ahmarinejad, F Sheidaei… - International Journal of …, 2022 - Elsevier
Energy hub systems improve energy efficiency and reduce emissions due to the coordinated
operation of different infrastructures. Given that these systems meet the needs of customers …

Dynamic energy dispatch strategy for integrated energy system based on improved deep reinforcement learning

T Yang, L Zhao, W Li, AY Zomaya - Energy, 2021 - Elsevier
Dynamic energy dispatch is an integral part of the operation optimization of integrated
energy systems (IESs). Most existing dynamic dispatch schemes depend heavily on explicit …

Robust decentralized optimization of Multi-Microgrids integrated with Power-to-X technologies

A Mansour-Saatloo, Y Pezhmani, MA Mirzaei… - Applied Energy, 2021 - Elsevier
Nowadays, the enormous rising demand for hydrogen fuel cell vehicles (HFCVs) and
electric vehicles (EVs) in the transportation sector has a significant contribution in growing of …

Optimal scheduling of integrated demand response-enabled community-integrated energy systems in uncertain environments

Y Li, B Wang, Z Yang, J Li, G Li - IEEE Transactions on Industry …, 2021 - ieeexplore.ieee.org
The community-integrated energy system (CIES) is an essential energy internet carrier that
has recently been the focus of much attention. A scheduling model based on chance …

A carbon flow tracing and carbon accounting method for exploring CO2 emissions of the iron and steel industry: An integrated material–energy–carbon hub

H Zhang, W Sun, W Li, G Ma - Applied Energy, 2022 - Elsevier
In the context of carbon neutrality, accurate carbon accounting is urgently needed for energy-
intensive industries, such as the iron and steel industry. However, methods based on black …

Planning of distributed renewable energy systems under uncertainty based on statistical machine learning

X Fu, X Wu, C Zhang, S Fan… - Protection and Control of …, 2022 - ieeexplore.ieee.org
The development of distributed renewable energy, such as photovoltaic power and wind
power generation, makes the energy system cleaner, and is of great significance in reducing …

Optimal load dispatch of energy hub considering uncertainties of renewable energy and demand response

X Lu, H Li, K Zhou, S Yang - Energy, 2023 - Elsevier
As an important modeling method for multi-energy systems, the energy hub (EH) plays an
important role in the planning and operation research of multi-energy systems. In this regard …