Energy consumption in buildings is increasing because of social development and urbanization. Forecasting the energy consumption in buildings is essential for improving …
C Fan, J Wang, W Gang, S Li - Applied energy, 2019 - Elsevier
Accurate and reliable building energy predictions can bring significant benefits for energy conservations. With the development in smart buildings, massive amounts of building …
D Blazquez, J Domenech - Technological Forecasting and Social Change, 2018 - Elsevier
Abstract The Data Big Bang that the development of the ICTs has raised is providing us with a stream of fresh and digitized data related to how people, companies and other …
R Khalid, N Javaid - Sustainable Cities and Society, 2020 - Elsevier
Forecasting in the smart grid (SG) plays a vital role in maintaining the balance between demand and supply of electricity, efficient energy management, better planning of energy …
Purpose This study aims to investigate the mediating role of “Big Data Analytics” played between “Project Performance” and nine factors including top management, project …
In recent years, due to the unnecessary wastage of electrical energy in residential buildings, the requirement of energy optimization and user comfort has gained vital importance. In the …
The climate change crisis, exacerbated by the global dependency of fossil fuels, has brought significant challenges. In the medium to long term, extensive renewable-energy-based …
Big data analytics is the journey to turn data into insights for more informed business and operational decisions. As the chemical engineering community is collecting more data …
Smart grids are a promising solution to the rapidly growing power demand because they can considerably increase building energy efficiency. This study developed a novel time-series …