The power of big data and data analytics for AMI data: A case study

JS Guerrero-Prado, W Alfonso-Morales… - Sensors, 2020 - mdpi.com
In recent years, there has been a transformation in the value chain of different industrial
sectors, like the electricity networks, with the appearance of smart grids. Currently, the …

I-BAT: A data-intensive solution based on the internet of things to predict energy behaviors in microgrids

AJ Jara, L Dufour, G Rizzo, MP Pawlowski… - Securing the internet …, 2020 - igi-global.com
Microgrids present the challenge to reach a proper balance between local production and
consumption, in order to reduce the usage of energy from external sources. This work …

[图书][B] Forecasting Energy Demand & Peak Load Days with the Inclusion of Solar Energy Production

C Rollins - 2020 - search.proquest.com
The addition of solar panels to forecasting energy demand and peak energy demand
presents an entirely new challenge to a facility. By having to account for the varying energy …

Incorporating Unsupervised Deep Learning into Meta Learning for Energy Time Series Forecasting

V Hagenmeyer - … of the Future Technologies Conference (FTC) …, 2020 - books.google.com
To ensure better sustainability and economic operation of electricity grids through intelligent
decision making in unit commitment of decentralized energy resources and flexible loads at …

Energy performance assessment of campus buildings using data mining technologies

K Li - 2020 - ro.uow.edu.au
Buildings consume a large amount of energy during their life cycle. Building performance
assessment plays a significant role in improving building energy efficiency and reducing …

A Study of Energy Management Techniques for Smart City Applications on Educational Campus

M Zeeshan, M Jamil - … Computing and Electronics Systems: Proceedings of …, 2020 - Springer
Energy management in educational institutions is a much needed requirement due to the
random energy needs and changing occupational behavior. A smart energy management …