A survey on deep learning for building load forecasting

I Patsakos, E Vrochidou… - … Problems in Engineering, 2022 - Wiley Online Library
Energy consumption forecasting is essential for efficient resource management related to
both economic and environmental benefits. Forecasting can be implemented through …

[HTML][HTML] Machine learning and price-based load scheduling for an optimal IoT control in the smart and frugal home

R Kaur, C Schaye, K Thompson, DC Yee, R Zilz… - Energy and AI, 2021 - Elsevier
We pose and study a scheduling problem for an electric load to develop an Internet of
Things (IoT) control system for power appliances, which takes advantage of real-time …

Optimized Cost of Energy by a Home Energy Management System Employing Dynamic Power Import Limit Strategy: A Case study Approach

VD Juyal, S Kakran - Journal of Operation and Automation in Power …, 2023 - joape.uma.ac.ir
Nowadays, the centralized power system is changing to a distributed system, and various
energy management systems are being installed for efficient functioning. Load side …

The Balancing of Secondary Distribution Feeders by Two Techniques GWO and PSO Applied in Baghdad, Comparative Study

IH Al-Kharsan, AF Marhoon… - IOP Conference Series …, 2020 - iopscience.iop.org
The distribution network considered the more complex portion of the electrical power system
as there is much machinery, and many loads are fed. The load diversity and variety that …

GREEN RADIO COMMUNICATIONS IN 5G NETWORKS TO IMPROVE ENERGY EFFICIENCY AND REDUCE GLOBAL WARMING

RD NAMALA - thesis.unipd.it
The technology of green radio communication helps in reducing the emission of carbon and
also helps in the process of reducing the consumption of energy by the base stations of …