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Keyword: time series: forecasting methods
Found
153 papers
in total
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The use of analogies in forecasting the annual sales of new electronics products
2013,
Goodwin Paul
Mathematical models are often used to describe the sales and adoption patterns of...
Formation of seasonal groups and application of seasonal indices
2014,
Boylan J E
Estimating seasonal variations in demand is a challenging task faced by many...
Is It Better to Average Probabilities or Quantiles?
2013,
Winkler Robert L
We consider two ways to aggregate expert opinions using simple averages: averaging...
Energy consumption forecasting using a bi‐objective fuzzy linear regression model
2012,
Rabbani Masoud
In this paper, a new bi‐objective fuzzy linear regression model is proposed in...
Initial Public Offerings as Lotteries: Skewness Preference and First‐Day Returns
2012,
Green T Clifton
We find that initial public offerings (IPOs) with high expected skewness experience...
Density Forecasting of Intraday Call Center Arrivals Using Models Based on Exponential Smoothing
2012,
Taylor James W
A key input to the call center staffing process is a forecast for the number of calls...
A combined usage of stochastic and quantitative risk assessment methods in the worksites: Application on an electric power provider
2012,
Marhavilas P K
An individual method cannot build either a realistic forecasting model or a risk...
Assessing the impact of forward trading, retail liberalization, and white certificates on the Italian wholesale electricity prices
2012,
Petrella Andrea
How do policy actions affect the dynamics of deregulated electricity prices? We...
Forecasting warranty claims for recently launched products
2012,
Wu Shaomin
Forecasting warranty claims for recently launched products that have short histories...
Day‐ahead electricity price forecasting by a new hybrid method
2012,
Tan Zhongfu
Electricity price forecasting has become necessary for power producers and consumers...
Modeling special‐day effects for forecasting intraday electricity demand
2013,
Kim Myung Suk
We propose and apply a novel approach for modeling special‐day effects to...
Improved estimation of electricity demand function by using of artificial neural network, principal component analysis and data envelopment analysis
2013,
Azadeh A
Due to various seasonal and monthly changes in electricity consumption and...
Feature extraction and classification models for high-dimensional profile data
2011,
Runger George
As manufacturing transitions to real-time sensing, it becomes more important to handle...
Forecasting foreign exchange rates with adaptive neural networks using radial‐basis functions and Particle Swarm Optimization
2013,
Sermpinis Georgios
The motivation for this paper is to introduce a hybrid neural network architecture of...
A GIS‐based decision support system for hotel room rate estimation and temporal price prediction: The hotel brokers' context
2013,
Kisilevich Slava
The vastly increasing number of online hotel room bookings is not only intensifying...
On feature selection for traffic congestion prediction
2013,
Yang Su
Traffic congestion prediction plays an important role in route guidance and traffic...
When Should Zero be Included on a Scale Showing Magnitude?
2011,
Kozak Marcin
This article addresses an important problem of graphing quantitative data: should one...
Algorithmic determination of the maximum possible earnings for investment strategies
2013,
Brandouy Olivier
This paper proposes a new method for determining the upper bound of any investment...
Incorporating technology buying behaviour into UK‐based long term domestic stock energy models to provide improved policy analysis
2013,
Lee Timothy
The UK has a target for an 80% reduction in CO 2 emissions by 2050 from a 1990...
A good approximation of the inventory level in a (Q, r) perishable inventory system
1999,
Chiu Huan Neng
This paper derives a good approach to approximating the expected inventory level per...
Wagner versus Keynes: Public spending and national income in Italy
2012,
Magazzino Cosimo
Wagner's Law is the first model of public spending in the history of public finance....
A comparison of periodic autoregressive and dynamic factor models in intraday energy demand forecasting
2013,
Smith Michael S
We suggest a new approach for forecasting energy demand at an intraday resolution. The...
Forecasting hepatitis epidemic situation by applying the time series model
2012,
Chen Yinping
The autoregressive integrated moving average (ARIMA) model is one of the...
Geostationary weather radar super‐resolution modelling and reconstruction process
2012,
Li Xuehua
The geostationary weather radar reflectivity data of low horizontal resolution would...
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