[HTML][HTML] Métodos de previsão de demanda: uma revisão da literatura

AEF Ackermann, MA Sellitto - Innovar, 2022 - scielo.org.co
A previsão de demanda é uma metodologia da administração de empresas para estimar um
valor futuro de uma grandeza de interesse. Realizar previsões de demanda significa …

Decarbonization, population disruption and resource inventories in the global energy transition

K Svobodova, JR Owen, D Kemp, V Moudrý… - Nature …, 2022 - nature.com
We develop a novel approach to analysing decarbonisation strategies by linking global
resource inventories with demographic systems. Our 'mine-town systems' approach …

Medium-to long-term nickel price forecasting using LSTM and GRU networks

AC Ozdemir, K Buluş, K Zor - Resources Policy, 2022 - Elsevier
Recently, nickel is a critical metal for manufacturing stainless steel, rechargeable electric
vehicle batteries, and alloys utilized in the state-of-the-art technologies. The use of more …

Gold price forecasting using multivariate stochastic model

L Madziwa, M Pillalamarry, S Chatterjee - Resources Policy, 2022 - Elsevier
Commodities prices are pivotal to the mineral investment decision and have a considerable
impact on mining companies' financial performance and countries that depend on mineral …

[HTML][HTML] Designing a short-term load forecasting model in the urban smart grid system

C Li - Applied Energy, 2020 - Elsevier
The transition of the energy system from fossil fuel towards renewable energy (RE) is rising
sharply, which provides a cleaner energy source to the urban smart grid system. However …

A review of state-of-the-art techniques for the determination of the optimum cut-off grade of a metalliferous deposit with a bibliometric mapping in a surface mine …

P Biswas, RK Sinha, P Sen - Resources Policy, 2023 - Elsevier
In terms of the global share, 95% of the non-metallic minerals, 90% of the metallic minerals,
and about 60% of coal are being mined out through surface mining methods. In a mining …

Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm

P Du, J Guo, S Sun, S Wang, J Wu - Resources Policy, 2021 - Elsevier
The prediction of metal prices can provide references of future investment and decision-
making for mining projects and affiliates. However, the improvement of metal prices …

Healthcare operations and black swan event for COVID-19 pandemic: A predictive analytics

JP Devarajan, A Manimuthu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
COVID-19 pandemic has questioned the way healthcare operations take place globally as
the healthcare professionals face an unprecedented task of controlling and treating the …

Assessing the inflation hedging of gold and palladium in OECD countries

AA Salisu, UB Ndako, TF Oloko - Resources Policy, 2019 - Elsevier
In this study, we examine the inflation hedging potential of the two most valuable precious
metals namely gold and palladium. Our data covers a wide range of OECD countries which …

Forecasting on metal resource spot settlement price: New evidence from the machine learning model

T Shi, C Li, W Zhang, Y Zhang - Resources Policy, 2023 - Elsevier
Accurate prediction of the price of metal mineral resources is of great practical significance
for guiding the production of non-renewable resource enterprises and maintaining the …