Annual Contribution Electricity Forecasting Model Based on Logistic Regression Analysis

mortality forecasting based on lee-carter model

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

A Novel Electricity Sales Forecasting Method Based on Clustering, Regression and Time-series Analysis

The forecasting of monthly electricity sales is a fundamental job for the marketing department of State Grid Corporation of China. In this paper, we propose a novel electricity sales forecasting method. Firstly, with the visual clustering algorithm, 27 provincial electric power companies of State Grid Corporation of China are clustered into different groups according to their historical monthly...

Monash Electricity Forecasting Model

Grey Prediction Model for Forecasting Electricity consumption

Accurate prediction of the future electricity consumption is crucial for production electricity management. Since the storage of electrical energy is very difficult, reliable and accurate prediction of power consumption is important. Different approaches for this purpose were used. In this paper, Grey model (1,1) based on grey system theory has been used for forecasting results. Annual electric...

Macroscopic Congestion Intensity Measurement Model Based on Cumulative Logistic Regression

An efficient and accurate measurement of congestion intensity helps investigate the traffic conditions at different road classes and provides useful information for transportation planning and traffic operation improvement. However, the existing traffic congestion intensity measurement models often suffer from two major problems: one is that there is no generally accepted method that can be use...