[HTML][HTML] Forecasting: theory and practice

F Petropoulos, D Apiletti, V Assimakopoulos… - International Journal of …, 2022 - Elsevier
Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality

D Yang, W Wang, CA Gueymard, T Hong… - … and Sustainable Energy …, 2022 - Elsevier
The ability to forecast solar irradiance plays an indispensable role in solar power
forecasting, which constitutes an essential step in planning and operating power systems …

Fairness-aware large-scale collective opinion generation paradigm: A case study of evaluating blockchain adoption barriers in medical supply chain

ZS Chen, Z Zhu, ZJ Wang, Y Tsang - Information Sciences, 2023 - Elsevier
Generating collective opinion based on probability distribution function aggregation
occupies crucial roles in accomplishing probabilistic risk analysis, probabilistic-forecast …

Multiobjective optimization-based collective opinion generation with fairness concern

ZS Chen, Z Zhu, XJ Wang, F Chiclana… - … on Systems, Man …, 2023 - ieeexplore.ieee.org
The generation of collective opinion based on probability distribution function (PDF)
aggregation is gradually becoming a critical approach for tackling immense and delicate …

[HTML][HTML] Understanding FinTech start-ups–a taxonomy of consumer-oriented service offerings

H Gimpel, D Rau, M Röglinger - Electronic Markets, 2018 - Springer
The financial sector is facing radical transformation. Leveraging digital technologies to offer
innovative services, FinTech start-ups are emerging in domains such as asset management …

[图书][B] Forecasting: principles and practice

RJ Hyndman, G Athanasopoulos - 2018 - books.google.com
Forecasting is required in many situations. Stocking an inventory may require forecasts of
demand months in advance. Telecommunication routing requires traffic forecasts a few …

A recommender system based on collaborative filtering using ontology and dimensionality reduction techniques

M Nilashi, O Ibrahim, K Bagherifard - Expert Systems with Applications, 2018 - Elsevier
Improving the efficiency of methods has been a big challenge in recommender systems. It
has been also important to consider the trade-off between the accuracy and the computation …

Millions projected to be at risk from sea-level rise in the continental United States

ME Hauer, JM Evans, DR Mishra - Nature Climate Change, 2016 - nature.com
Sea-level rise (SLR) is one of the most apparent climate change stressors facing human
society. Although it is known that many people at present inhabit areas vulnerable to SLR …

[图书][B] Inventory and production management in supply chains

EA Silver, DF Pyke, DJ Thomas - 2016 - taylorfrancis.com
Authored by a team of experts, the new edition of this bestseller presents practical
techniques for managing inventory and production throughout supply chains. It covers the …

[HTML][HTML] Forecast evaluation for data scientists: common pitfalls and best practices

H Hewamalage, K Ackermann, C Bergmeir - Data Mining and Knowledge …, 2023 - Springer
Recent trends in the Machine Learning (ML) and in particular Deep Learning (DL) domains
have demonstrated that with the availability of massive amounts of time series, ML and DL …