Results 271 to 280 of about 537,336 (309)

Adaptive Forecasting Models Based on Predictive Distributions

Management Science, 1978
The availability of data regarding variables of interest in forecasting problems is sometimes limited, but experts may possess a great deal of relevant information. The approach taken in this paper involves the development of adaptive forecasting models based on such information.
Robert L. Winkler, Wayne S. Smith, Ram B. Kulkarni   +2 more
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The distribution of inflation forecast errors

Journal of Policy Modeling, 2015
Abstract This paper investigates the cross-sectional distribution of inflation forecasts errors over the period 1984–2007. Our working hypothesis is that the Fed's movement toward greater transparency starting in the mid-1990s likely affected both the distribution of forecast errors and the location of the Fed's staff forecasts within that ...
Edward N. Gamber, Jeffrey P. Liebner, Julie K. Smith   +2 more
openaire   +1 more source

Distributed PV Power Generation Forecasting for Distribution Management

2014
High penetration of distributed PV generation (DG-PV) assets has created a new energy management and control landscape in the power industry as it has substantially changed operating conditions in the distribution grid. In 2013, Green Power Labs (GPL) and San Diego Gas and Electric (SDG&E) developed an approach to integrate distributed PV ...
Carter, C., Fletcher, J., Kostylev, V., Mahoney, C., Palmer, M., Daye, T., Pavlovski, A., Cormier, D.   +7 more
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Forecasting from Known Distributions

2014
The normal distribution has featured prominently in previous chapters because it is found to appropriately describe the data obtained in numerous situations. If there is good reason to believe in advance that the normal distribution will apply, then predictions can be made regarding future observations.
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Forecast-aided distribution system state estimation

Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MedPower 2016), 2016
This paper presents Forecast-Aided Distribution System State Estimation algorithm based on the Unscented Kalman Filter. It uses pseudo-measurements based on the forecasted load profiles and previous state estimation, in conjunction with optimally placed limited number of load active and reactive power measurements.
A. Jahic, T. Konjic, A. Jahic
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Forecasting Crowd Distribution in Smart Cities

2020 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops), 2020
In this work we present a forecasting method that can be used to predict crowd distribution across the city. Specifically, we analyze and forecast cellular network traffic and estimate crowd on such basis. Our forecasting model is based on a neural network combined with time series decomposition techniques.
Cecaj A., Lippi M., Mamei M., Zambonelli F.   +3 more
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Intelligent forecasting of distribution system loads

Proceedings of 8th Mediterranean Electrotechnical Conference on Industrial Applications in Power Systems, Computer Science and Telecommunications (MELECON 96), 2002
In this paper, for the first time, two algorithmic and one nonalgorithmic models have been developed for forecasting of distribution systems/feeders loads. The two algorithmic models are a 3 dimensional model of daily peak load versus daily peak wind and temperature, and a load versus wind-chill which has the advantage of reducing the analysis from a 3
B. Kermanshahi, R. Yokoyama, K. Takahashi   +2 more
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Forecasting in the Distribution Environment

1996
Much of the success of enterprise planning and decision-making processes depends on the formulation of accurate forecasts. Although it has often been said that nothing really happens until a company receives a customer order, unless the enterprise has developed sound plans that enable it to purchase the proper inventory, establish the necessary ...
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Distributions Agreeing With Exchangeable Sequential Forecasting

The American Statistician, 2001
We follow the lines of Bruno de Finetti's “fundamental theorem of prevision” to characterize a very large family of distributions that agree with exchangeable forecasts conditioned only on the sum of successes in a sequence of events. This agreement is despite the fact that the sum is not a sufficient statistic for the entire family of distributions ...
Lad F., Scozzafava R.
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Order Forecast of Cigarette Distribution Center

2007 IEEE International Conference on Automation and Logistics, 2007
The thesis forecasts order of Cigarette Distribution Center by period, brand, district, from several dimensions. The thesis uses different models and analyses forecast results. When forecasting year's order amount, the mean accuracy of Logarithm Regression Model is highest, gets 98.45%.
Yaohua Wu, Zuoling Song, Danyu Zhang
openaire   +1 more source