Buildings are considered the enormous source of untapped energy efficiency potential in the global carbon neutrality. It is necessary to ensure that buildings are energy-efficient using …
H Fang, JW Xiao, YW Wang - International Journal of Electrical Power & …, 2023 - Elsevier
The widespread installation of advanced metering infrastructure (AMI) brings convenience to applications including but not limited to load management and demand response. However …
JW Xiao, Y Xie, H Fang, YW Wang - … Journal of Electrical Power & Energy …, 2023 - Elsevier
Demand response (DR) is regarded as a promising solution to the problem of renewable energy integration, while it remains one of the key barriers for DR to target the right …
K Zhou, N Peng, D Hu, Z Shao - Energy and Buildings, 2023 - Elsevier
Electric power load pattern recognition from various accumulated load data is performed for energy efficiency improvement, power system operation support, and demand side …
Y Ma, X Kong, L Zhao, G Liu, B Gao - Applied Energy, 2024 - Elsevier
The quality of electricity consumption data significantly influences business model construction, affecting performance and accuracy. This paper proposes a method for …
H Fang, JW Xiao, YW Wang - Engineering Applications of Artificial …, 2023 - Elsevier
Consumer characteristics can help energy utilities implement efficient demand response programs and personalized services. However, there are two problems in obtaining …
G You - Annals of the American Association of Geographers, 2023 - Taylor & Francis
The COVID-19 pandemic exerted devastating effects on the global economy, public health, and urban life. The geographical consequences lie in spatial time series dimensions, but the …
H Fang, JW Xiao, YW Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Extracting users' energy consumption patterns (ECPs) from smart meter data is an important work for retailers. The existing literature usually describe these patterns by clustering the …
Z Yao, H Fang, S Cui, M Cai, F Ai, J Li… - 2023 35th Chinese …, 2023 - ieeexplore.ieee.org
Household short-term load forecasting is one of the essential work of electricity utilities, which is of great significance to the construction of smart grids and the safe operation of …