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books
| book details |
Engineering Applications of AI for Demand Forecasting
Edited by Bhargav Appasani, Edited by Amitkumar Vidyakant Jha
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| on special |
normal price: R 5 421.95
Price: R 4 879.95
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| book description |
Engineering Applications of AI for Demand Forecasting explores how Artificial Intelligence enhances prediction accuracy across modern engineering systems. As industries move toward Industry 4.0, the book highlights the role of AI in processing large, dynamic datasets for smarter decision-making. This book brings together contemporary research that demonstrates AI’s ability to enhance precision, efficiency, and adaptability in diverse forecasting environments. By covering cybersecurity analytics, anomaly detection, logistics forecasting, sustainable supply chain management, and predictive maintenance, it demonstrates AI’s versatility in complex environments. The book also showcases AI applications in renewable energy forecasting, peak load prediction, smart meter analytics, and prosumer-driven demand modeling. Combining theory with practical case studies, it serves as a valuable resource for engineers, researchers, practitioners, and students.
| product details |
Normally shipped |
Publisher | Taylor & Francis Ltd
Published date | 9 Jun 2026
Language |
Format | Hardback
Pages | 284
Dimensions | 234 x 156 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-1-0328-6383-2
Readership Age |
BISAC | business & economics / forecasting
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