Building energy prediction plays a vital role in develo** a model predictive controller for
consumers and optimizing energy distribution plan for utilities. Common approaches for …

During this era of the energy crisis, when the non-renewable sources are rapidly
diminishing, efforts are being taken to utilize renewable sources predominantly. This …

The development of Internet of Things technologies has provided potential for real-time
monitoring and control of environment in smart cities. In the field of energy management …

The reduction of electricity loss and the effective management of electricity demand are vital
operations for production and distribution electricity enterprises. To achieve these goals …

Power data analysis in power system, such as electricity consumption prediction, has always
been the basis for the power department to adjust electricity price, substation regulation …

Diabetes self-management relies on the blood glucose prediction as it allows taking suitable
actions to prevent low or high blood glucose level. In this paper, we propose a deep learning …

To deliver electricity to customers safely and economically, power companies encounter
numerous economic and technical challenges in their operations. Power flow analysis …

This study explores the potential of advancing industrial building energy Measurement and
Verification (M&V) using Deep Learning techniques, with a focus on the impact of data size …

The Internet of Things (IoT) has created a novel ecosystem for sensing and actuation
throughout our world, enabling intelligently controlled autonomous systems to conserve …

With the advent of advanced metering infrastructure (AMI) technologies, various energy
sources, such as gas, heating, and water can be actively collected. In this study, using …