Data Preparation and Visualization of Electricity Consumption for Load Profiling
نویسندگان
چکیده
The construction of daily electricity consumption profiles is a common practice for user characterization and segmentation tasks. As in any data analysis project, to obtain these load profiles, stage preparation necessary. This article explores what extent does the selection technique impacts profiling. techniques discussed are used following tasks: standardization, data, dimensionality reduction enrichment. reveals great incidence on result. need make process explicit each report identified. In particular, it highlighted that most usual default standardization process, column not adequate energy profiles.
منابع مشابه
exploring motivation and english test preparation strategies of iranian pre-university candidates during and at the end of test preparation period for konkur examination
the current study aimed at investigating the relationship between motivation and test preparation strategies (tpss) used by iranian pre-university students in their preparation period for the university entrance exam (uee). due to the importance of uee in iran, this study also attempted to show its impact on these two important variables. to this end, 100 pre-university students in an iranian p...
Household Electricity Consumption Data Cleansing
Load curve data in power systems refers to users’ electrical energy consumption data periodically collected with meters. It has become one of the most important assets for modern power systems. Many operational decisions are made based on the information discovered in the data. Load curve data, however, usually suffers from corruptions caused by various factors, such as data transmission errors...
متن کاملA new approach for data visualization problem
Data visualization is the process of transforming data, information, and knowledge into visual form, making use of humans’ natural visual capabilities which reveals relationships in data sets that are not evident from the raw data, by using mathematical techniques to reduce the number of dimensions in the data set while preserving the relevant inherent properties. In this paper, we formulated d...
متن کاملA Two-Level Clustering Approach Applied to Electricity Load Profiling
With the electricity market liberalization, the distribution and retail companies are looking for better market strategies based on adequate information upon the consumption patterns of its electricity customers. A fair insight on the customers’ behavior will permit the definition of specific contract aspects based on the different consumption patterns. In this paper, we propose a KDD project a...
متن کاملGrey 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...
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: Energies
سال: 2022
ISSN: ['1996-1073']
DOI: https://doi.org/10.3390/en15207557