An energy management system of campus microgrids: State-of-the-art and future challenges
The multiple uncertainties in a microgrid, such as limited photovoltaic generations, ups and
downs in the market price, and controlling different loads, are challenging points in …
downs in the market price, and controlling different loads, are challenging points in …
Prospects and challenges of renewable energy-based microgrid system in Bangladesh: a comprehensive review
MRH Mojumder, M Hasanuzzaman, E Cuce - Clean Technologies and …, 2022 - Springer
Global energy demand is continuously increasing where the pollution and harmful
greenhouse gases that originated from the burning of fossil fuels are alarming. Various …
greenhouse gases that originated from the burning of fossil fuels are alarming. Various …
Integrated optimization of a regional integrated energy system with thermal energy storage considering both resilience and reliability
H Ren, Z Jiang, Q Wu, Q Li, Y Yang - Energy, 2022 - Elsevier
The regional integrated energy system (RIES) is widely adopted from the viewpoints of
energy saving, emissions reduction and resilience enhancement. Especially, in case of …
energy saving, emissions reduction and resilience enhancement. Especially, in case of …
Optimum hybrid renewable energy system design for on and off grid buildings: Hotel, education and animal hospital building case
GN Güğül - Solar Energy, 2023 - Elsevier
Optimum design of hybrid renewable systems is essential for the efficient utilization of the
renewable sources and uninterruptible energy supply. The size and backup capacity of the …
renewable sources and uninterruptible energy supply. The size and backup capacity of the …
Optimal dispatching of renewable energy‐based urban microgrids using a deep learning approach for electrical load and wind power forecasting
Optimal load dispatching plays a vital role in improving the reliability and efficiency of
renewable energy systems. This research presents a Mixed‐Integer Linear Programming …
renewable energy systems. This research presents a Mixed‐Integer Linear Programming …
Resilience-centered optimal sizing and scheduling of a building-integrated PV-based energy system with hybrid adiabatic-compressed air energy storage and battery …
This study investigates the economic and resilience co-optimization of a decentralized
hybrid energy system (HES) within scenarios involving limited energy sources and a hybrid …
hybrid energy system (HES) within scenarios involving limited energy sources and a hybrid …
Ethical Frameworks for Machine Learning in Sensitive Healthcare Applications
The application of Machine Learning (ML) in healthcare has opened unprecedented
avenues for predictive analytics, diagnostics, and personalized medicine. However, the …
avenues for predictive analytics, diagnostics, and personalized medicine. However, the …
Low carbon futures: assessing the status of decarbonisation efforts at universities within a 2050 perspective
Background The implementation of sustainability at universities means that they can also
play a key role in the transition to a low carbon economy, and in assisting global efforts …
play a key role in the transition to a low carbon economy, and in assisting global efforts …
Potential of using floating solar photovoltaic and wind farms for sustainable energy generation in an existing hydropower station in Nigeria
Energy poverty, insecurity and vulnerability are issues facing energy accessibility in Sub-
Saharan Africa, SSA. These among other things have been exacerbated as a result of …
Saharan Africa, SSA. These among other things have been exacerbated as a result of …
Optimal designing of grid-connected microgrid systems for residential and commercial applications in Pakistan
Conventional energy sources (CESs) are currently serving most of the global energy
demands, but they will be substantially depleted as moving towards the end of this decade …
demands, but they will be substantially depleted as moving towards the end of this decade …