Energy consumption prediction using people dynamics derived from cellular network data
نویسندگان
چکیده
منابع مشابه
Identifying Factors Affecting Household Energy Consumption Using Data Mining Methods
Due to increasing population and decreasing energy sources, this research studies the consumption of domestic energy. The purpose of this study is to predict the factors affecting household energy consumption. To do this, we use 3 algorithms, M5Rules, K-nearest neighbor and random forest, available in Weka software. In this study, the feature correlation algorithm is used to select the most imp...
متن کاملSpatial prediction of soil electrical conductivity using soil axillary data, soft data derived from general linear model and error measurement
Indirect measurement of soil electrical conductivity (EC) has become a major data source in spatial/temporal monitoring of soil salinity. However, in many cases, the weak correlation between direct and indirect measurement of EC has reduced the accuracy and performance of the predicted maps. The objective of this research was to estimate soil EC based on a general linear model via using se...
متن کاملPrediction of Energy Consumption in the First Line of Tehran Metro: GMDH Neural Network Approach
Today, energy and its consumption are the main strategic plan of organizations and also the development of urban transport systems by considering a variety of economic, scientific, industrial, climate and growing urbanization is essential. Analysis of past trends in energy is the key to predict future trends, with regard to the rate of development of metro, for planning and future-oriented macr...
متن کاملRoute Prediction from Cellular Data
Location-awareness is an important concept in pervasive computing. Using programmable mobile phones we can equip users with software that tracks cell transitions in a GSM network. With this location data and other context variables we can determine places that are important to the user, and make predictions about the next location when the user is moving. The predictions and location data can b...
متن کاملDevelopment of Neural Network Prediction Model of Energy Consumption
In the oil and gas industry, energy prediction can help the distributor and customer to forecast the outgoing and incoming gas through the pipeline. It will also help to eliminate any uncertainties in gas metering for billing purposes. The objective of this paper is to develop Neural Network Model for energy consumption and analyze the performance model. This paper provides a comprehensive revi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: EPJ Data Science
سال: 2016
ISSN: 2193-1127
DOI: 10.1140/epjds/s13688-016-0075-3