Occupants' behavior is a major source of uncertainty for the optimal operation of building energy systems. The highly stochastic hot water use behavior of occupants has led to …
A Su, Z Du, B Yin - Plos one, 2024 - journals.plos.org
With the rapid development of smart grids, society has become increasingly urgent to solve the problems of low energy utilization efficiency and high energy consumption. In this …
JR Lopez, P Ponce, A Molina - What AI Can Do: Strengths and …, 2023 - api.taylorfrancis.com
It is known that the increment of greenhouse gas emissions is one of the main factors behind the global warming phenomenon. Global warming is a heavy influence to abnormal …
Demand response has proven to be a crucial mechanism in the process of flexibility exploitation on the demand side. Throughout the years, it has evolved and expanded …
This study utilizes machine learning and, more specifically, reinforcement learning (RL) to allow for an optimized, real-time operation of large numbers of decentral flexible assets on …
This paper covers predicting high-resolution electricity peak demand features given lower- resolution data. This is a relevant setup as it answers whether limited higher-resolution …
Considering recent developments in the energy sector, further reduction of electricity cost and flattening of the electric power demand curve are needed. We have focused on an …