Mitigating climate change challenges in the built environment through the decarbonisation of energy and construction materials remains a pressing challenge. The circular economy …
Daily peak load forecasting (DPLF) and total daily load forecasting (TDLF) are essential for optimal power system operation from one day to one week later. This study develops a …
Accurate predictions for buildings' energy performance (BEP) are crucial for retrofitting investment decisions and building benchmarking. With the increasing data availability and …
Y Qin, M Zhao, Q Lin, X Li, J Ji - Mathematics, 2022 - mdpi.com
Prediction of building energy consumption using mathematical modeling is crucial for improving the efficiency of building energy utilization, assisting in building energy …
The considerable amount of energy utilized by buildings has led to various environmental challenges that adversely impact human existence. Predicting buildings' energy usage is …
Reducing the energy consumption of buildings in the public sector is an important component in our efforts towards reaching our sustainability goals. In this context, a decisive …
HU Manzoor, A Jafri, A Zoha - Internet of Things, 2024 - Elsevier
Federated Learning (FL) enhances predictive accuracy in load forecasting by integrating data from distributed load networks while ensuring data privacy. However, the …
M Palak, G Revati, A Sheikh - 2021 North American Power …, 2021 - ieeexplore.ieee.org
The prediction of electricity consumption in a building is critical for recognizing the possibilities for energy savings as a part of the digitalization of the built environment. This …
HU Manzoor, A Jafri, A Zoha - Authorea Preprints, 2024 - techrxiv.org
Federated Learning (FL) in load forecasting improves predictive accuracy by leveraging data from distributed load networks while preserving data privacy. However, the …