[HTML][HTML] Forecasting: theory and practice
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 …
uncertainty that surrounds the future is both exciting and challenging, with individuals and …
COVID-19: a comparison of time series methods to forecast percentage of active cases per population
The ongoing COVID-19 pandemic has caused worldwide socioeconomic unrest, forcing
governments to introduce extreme measures to reduce its spread. Being able to accurately …
governments to introduce extreme measures to reduce its spread. Being able to accurately …
[HTML][HTML] Forecasting the renewable energy consumption of the European countries by an adjacent non-homogeneous grey model
L Liu, L Wu - Applied Mathematical Modelling, 2021 - Elsevier
In this paper, a new adjacent non-homogeneous grey model was proposed to predict
renewable energy consumption in Europe. Based on the principle of adjacent accumulation …
renewable energy consumption in Europe. Based on the principle of adjacent accumulation …
RL-NSB: Reinforcement learning-based 5G network slice broker
V Sciancalepore, X Costa-Perez… - IEEE/ACM transactions …, 2019 - ieeexplore.ieee.org
Network slicing is considered one of the main pillars of the upcoming 5G networks. Indeed,
the ability to slice a mobile network and tailor each slice to the needs of the corresponding …
the ability to slice a mobile network and tailor each slice to the needs of the corresponding …
Review of forecasting methods to support photovoltaic predictive maintenance
Predictive maintenance models are thought to be a reliable alternative to costly on-site
maintenance techniques in the solar photovoltaic industry. They provide the owners with a …
maintenance techniques in the solar photovoltaic industry. They provide the owners with a …
Forecasting using simple exponential smoothing method
E Ostertagova, O Ostertag - Acta Electrotechnica et Informatica, 2012 - search.proquest.com
In the paper a relatively simple yet powerful and versatile technique for forecasting time
series data-simple exponential smoothing is described. The simple exponential smoothing …
series data-simple exponential smoothing is described. The simple exponential smoothing …
Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales
Existing sales forecasting models are not comprehensive and flexible enough to consider
dynamic changes and nonlinearities in sales time-series at the store and product levels. To …
dynamic changes and nonlinearities in sales time-series at the store and product levels. To …
A hybrid demand forecasting model for greater forecasting accuracy: the case of the pharmaceutical industry
In the era of modern technology, the competitive paradigm among organisations is changing
at an unprecedented rate. New success measures are applied to the organisation's supply …
at an unprecedented rate. New success measures are applied to the organisation's supply …
The recursive grey model and its application
L Liu, S Liu, Z Fang, A Jiang, G Shang - Applied Mathematical Modelling, 2023 - Elsevier
The fixed structure parameters limit the performance of grey prediction algorithm in
unsmoothed time series prediction tasks. Based on the mechanism of recursive iteration, this …
unsmoothed time series prediction tasks. Based on the mechanism of recursive iteration, this …
Analysis of market efficiency and fractal feature of NASDAQ stock exchange: Time series modeling and forecasting of stock index using ARMA-GARCH model
M Arashi, MM Rounaghi - Future Business Journal, 2022 - Springer
The multi-fractal analysis has been applied to investigate various stylized facts of the
financial market including market efficiency, financial crisis, risk evaluation and crash …
financial market including market efficiency, financial crisis, risk evaluation and crash …