Arslan Ahmed, Zied Bouida, Mohamed Ibnkahla

Data Communication and Analytics for Smart Grid Systems

Diverse Forecasting Models

• Broschiertes Buch

Produktbeschreibung

Energy utilities are constantly under pressure to meet the growing complicated energy demands. The traditional energy grid allows for one-way communication of energy usage between customers and utilities. This does not allow utilities to control or to suggest any changes in the consumption based on the obtained energy data. In this book, we design and implement innovative secure and reliable two-way communication between homes and the Utility. In this context, different houses communicate their energy usage, while an electric transformer relays action requests from the energy utility's headquarters. This enables the real-time tracking of energy usage by both consumers and the utility. Therefore, the efficiency of energy generation and distribution is enhanced, and consumers are empowered to make smarter decisions about their consumption. To this end, we develop and compare several machine Learning and Data Analytics models predicting energy consumption. The obtained results show that our proposed models perform better than existing ones for time-series energy forecasting.

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Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Seitenzahl: 136
• Erscheinungstermin: 5. November 2020
• Englisch
• Abmessung: 220mm x 150mm x 9mm
• Gewicht: 221g
• ISBN-13: 9786202924269
• ISBN-10: 6202924268
• Artikelnr.: 60678456

Autorenporträt

Arslan Ahmed received his Master of Applied Science degree in Electrical Engineering from Carleton University, Ottawa, Canada. He is now a Data Scientist at IBM, Toronto, Canada. Dr. Zied Bouida and Professor Mohamed Ibnkahla are with the Sensors Systems and Internet of Things Lab, Systems and Computer Engineering Department, Carleton University.