C McHugh, S Coleman, D Kerr - Machine Learning with Applications, 2022 - Elsevier
Electricity price prediction through statistical and machine learning techniques captures market trends and would be a useful tool for energy traders to observe price fluctuations and …
Artificial neural networks allow the identification of black-box models. This paper proposes a method aimed at replicating the static and dynamic behavior of a DC-DC power converter …
JL Lázaro, ÁB Jiménez, A Takeda - Expert Systems With Applications, 2018 - Elsevier
This paper describes how Machine Learning and Robust Optimization techniques can greatly improve cash logistics operations. Specifically, we seek to optimize the logistics …
J Kelley, MT Hagan - Expert Systems with Applications, 2024 - Elsevier
This paper provides the first extensive comparison of NARX and NARMAX models for multi- step prediction. NARMAX models are more complex and require more sophisticated training …
H Gurgul, Ł Lach, M Suder, K Szpyt - Entrepreneurial Business and …, 2023 - ceeol.com
Objective: The study focused on verifying the impact of the calendar and seasonal effects on the accuracy of forecasts of cash withdrawals from automated teller machines (ATMs). In this …
Optimal forecasting of ATM cash repository in an optimal way is a complex task. This paper deals with cash demand forecasting of NN5 time series data using neural networks. NN5 …
I Iskandar, R Willett, S Xu - Journal of Public Budgeting, Accounting & …, 2018 - emerald.com
Purpose Government cash forecasting is central to achieving effective government cash management but research in this area is scarce. The purpose of this paper is to address this …
Forecasting cash management, security, ease of use, and so on are important in the use of Automated Teller Machine (ATM). For this purpose, in this paper, we have discussed issues …
ME Genevois, D Celik, HZ Ulukan - International Journal of Industrial …, 2015 - academia.edu
Automated Teller Machines (ATMs) can be considered among one of the most important service facilities in the banking industry. The investment in ATMs and the impact on the …