Synopsis
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.
"synopsis" may belong to another edition of this title.
Search results for Data Communication and Analytics for Smart Grid Systems:...
Seller Image
Data Communication and Analytics for Smart Grid Systems
Published by
LAP LAMBERT Academic Publishing Nov 2020, 2020
ISBN 10: 6202924268
ISBN 13: 9786202924269
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 136 pp. Englisch. Seller Inventory # 9786202924269
Buy New
US$ 74.86
US$ 27.00 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 2 available
Stock Image
Data Communication and Analytics for Smart Grid Systems: Diverse Forecasting Models
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202924268
ISBN 13: 9786202924269
New
Softcover
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # 26404339105
Stock Image
Data Communication and Analytics for Smart Grid Systems: Diverse Forecasting Models
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202924268
ISBN 13: 9786202924269
New
Softcover
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 4 out of 5 stars
Condition: New. Print on Demand. Seller Inventory # 409863806
Buy New
US$ 106.95
US$ 8.70 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 4 available
Seller Image
Data Communication and Analytics for Smart Grid Systems
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202924268
ISBN 13: 9786202924269
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 4 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ahmed ArslanArslan 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 Ibnk. Seller Inventory # 419799283
Buy New
US$ 61.26
US$ 57.52 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: Over 20 available
Stock Image
Data Communication and Analytics for Smart Grid Systems: Diverse Forecasting Models
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202924268
ISBN 13: 9786202924269
New
Softcover
Seller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 4 out of 5 stars
Condition: New. PRINT ON DEMAND. Seller Inventory # 18404339115
Buy New
US$ 116.55
US$ 11.68 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 4 available
Seller Image
Data Communication and Analytics for Smart Grid Systems
Published by
LAP LAMBERT Academic Publishing Nov 2020, 2020
ISBN 10: 6202924268
ISBN 13: 9786202924269
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 136 pp. Englisch. Seller Inventory # 9786202924269
Buy New
US$ 74.86
US$ 70.44 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 2 available
Seller Image
Data Communication and Analytics for Smart Grid Systems | Diverse Forecasting Models
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202924268
ISBN 13: 9786202924269
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Data Communication and Analytics for Smart Grid Systems | Diverse Forecasting Models | Arslan Ahmed (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202924269 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 119450373
Buy New
US$ 65.18
US$ 82.18 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 5 available
Seller Image
Data Communication and Analytics for Smart Grid Systems : Diverse Forecasting Models
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202924268
ISBN 13: 9786202924269
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9786202924269
Buy New
US$ 75.75
US$ 71.74 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 1 available