Engineering Applications of AI for Demand Forecasting

Bhargav Appasani (Curatore)

Amitkumar Vidyakant Jha (Curatore)

Taylor & Francis Ltd, 2026

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.

• Curatore: Bhargav Appasani, Amitkumar Vidyakant Jha
• Editore: Taylor & Francis Ltd
• Anno: 2026
• Rilegatura: Hardback
• Pagine: 284 p.
• Dimensioni: 234 x 156 mm
• Peso: 650 gr.
• EAN: 9781032863832

Testo in English