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A method to categorize and classify artificial intelligence applicable to the risk-based audit approach

Föhr, Tassilo L. - In: Die Unternehmung : Swiss journal of business research … 78 (2024) 3, pp. 264-310

Persistent link: https://www.econbiz.de/10015069647

A new hybrid deep learning model for monthly oil prices forecasting

Guan, Keqin; Gong, Xu - In: Energy economics 128 (2023), pp. 1-21

Persistent link: https://www.econbiz.de/10015072695

Data mining and business intelligence trends

Mary, S. Shyni Carmel; Arun, Chockalingam Joe - In: Data-Driven Decision Making, (pp. 107-138). 2024

Persistent link: https://www.econbiz.de/10014633441

Proactive resource request for disaster response : a deep learning-based optimization model

Zhang, Hongzhe; Zhao, Xiaohang; Fang, Xiao; Chen, Bintong - In: Information systems research : ISR 35 (2024) 2, pp. 528-550

Persistent link: https://www.econbiz.de/10014634940

Attending to customer attention : a novel deep learning method for leveraging multimodal online reviews to enhance sales prediction

Chen, Gang; Huang, Lihua; Xiao, Shuaiyong; Zhang, Chenghong - In: Information systems research : ISR 35 (2024) 2, pp. 829-849

Persistent link: https://www.econbiz.de/10014635052

Electricity price forecasting in the Irish balancing market

O'Connor, Ciaran; Collins, Joseph; Prestwich, Steven; … - In: Energy strategy reviews 54 (2024), pp. 1-10

Short-term electricity markets are becoming more relevant due to less-predictable renewable energy sources, attracting considerable attention from the industry. The balancing market is the closest to real-time and the most volatile among them. Its price forecasting literature is limited,...

Persistent link: https://www.econbiz.de/10014635448