[HTML][HTML] Weather and climate data for energy applications

A Amin, M Mourshed - Renewable and Sustainable Energy Reviews, 2024 - Elsevier
Weather information plays a critical role in energy applications—from designing and
planning to the management and maintenance of building energy systems, renewable …

[HTML][HTML] Smart home energy management systems: Research challenges and survey

A Raza, L Jingzhao, Y Ghadi, M Adnan, M Ali - Alexandria Engineering …, 2024 - Elsevier
Electricity is establishing ground as a means of energy, and its proportion will continue to
rise in the next generations. Home energy usage is expected to increase by more than 40 …

A Comparative Study of AI Methods on Renewable Energy Prediction for Smart Grids: Case of Turkey

DB Unsal, A Aksoz, S Oyucu, JM Guerrero, M Guler - Sustainability, 2024 - mdpi.com
Fossil fuels still have emerged as the predominant energy source for power generation on a
global scale. In recent years, Turkey has experienced a notable decrease in the production …

[HTML][HTML] Demand-side load forecasting in smart grids using machine learning techniques

MY Masood, S Aurangzeb, M Aleem, A Chilwan… - PeerJ Computer …, 2024 - peerj.com
Electrical load forecasting remains an ongoing challenge due to various factors, such as
temperature and weather, which change day by day. In this age of Big Data, efficient …

Adaptive Least Mean Squares Graph Neural Networks and Online Graph Signal Estimation

Y Yan, C Peng, EE Kuruoglu - arXiv preprint arXiv:2401.15304, 2024 - arxiv.org
The online prediction of multivariate signals, existing simultaneously in space and time, from
noisy partial observations is a fundamental task in numerous applications. We propose an …

AI at the beyond 5G edge

J Chen - AI in Wireless for Beyond 5G Networks, 2024 - taylorfrancis.com
This chapter provides a brief background on deep learning, including frameworks and
measurements. The author then discusses AI on edge, that is, how to carry out the entire …