Energy systems undergo major transitions to facilitate the large-scale penetration of
renewable energy technologies and improve efficiencies, leading to the integration of many …

Since the energy sector is the dominant contributor to global greenhouse gas emissions, the
decarbonization of energy systems is crucial for climate change mitigation. Two major …

Abstract Artificial Neural Networks (ANNs) are proposed for sizing and simulating a clean
energy community (CEC) that employs a PV-wind hybrid system, coupled with energy …

For green building design, this paper proposes a multi-objective optimization (MOO)
framework to properly adjust design parameters using a deep reinforcement learning (DRL) …

Given the steep rises in renewable energy's proportion in the global energy mix expected
over several decades, a systematic way to plan the long-term deployment is needed. The …

Co-optimization of urban morphology and distributed energy systems is key to curb energy
consumption and optimally exploit renewable energy in cities. Currently available …

The energy transition is increasingly being discussed and implemented to cope with the
growing environmental crisis. However, great challenges remain for effectively harvesting …

This article investigates the optimal management of multi-carrier water and energy system
(MCWES) considering the high penetration of renewable energy sources as non …

Recent advancements in data science and artificial intelligence, as well as the development
of clean and sustainable energy sources, have created numerous opportunities for energy …

The energy hub (EH) is a promising concept that can accurately evaluate the performance of
multi-carrier integrated energy systems (IESs), ranging from a building to a district, city …