title: ÐÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ»ÐµÐºÑÑÐ¸ÑÐµÑÐºÐ¾Ð¹ Ð½Ð°Ð³ÑÑÐ·ÐºÐ¸ ÑÐ»ÐµÐºÑÑÐ¾Ð¼Ð¾Ð±Ð¸Ð»ÐµÐ¹: ÐÐ¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¸ Ð°Ð½Ð°Ð»Ð¸Ð·
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Forecasting Electrical Load of Electric Vehicles: Modeling and Analysis
Creators: name: ÐÐ»Ð¸Ð¼Ð¾Ð², Ð Ð°ÑÐ¸Ð´
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: Ð­Ð»ÐµÐºÑÑÐ¾Ð¼Ð¾Ð±Ð¸Ð»Ð¸
ÐÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐ·ÑÐºÐ¸
ÑÐ»ÐµÐºÑÑÐ¸ÑÐµÑÐºÐ°Ñ Ð½Ð°Ð³ÑÑÐ·ÐºÐ°
Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
Ð·Ð°ÑÑÐ´Ð½ÑÐµ ÑÑÐ°Ð½ÑÐ¸Ð¸
Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ
ÐºÐ»Ð°ÑÑÐµÑÐ¸Ð·Ð°ÑÐ¸Ñ
electrical load
modeling
forecasting
charging stations
data analysis
clustering

description: Ð¢ÐµÐ¼Ð° Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ: Â«ÐÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ»ÐµÐºÑÑÐ¸ÑÐµÑÐºÐ¾Ð¹ Ð½Ð°Ð³ÑÑÐ·ÐºÐ¸ ÑÐ»ÐµÐºÑÑÐ¾Ð¼Ð¾Ð±Ð¸Ð»ÐµÐ¹: ÐÐ¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¸ Ð°Ð½Ð°Ð»Ð¸Ð·Â». ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¸ Ð°Ð½Ð°Ð»Ð¸Ð·Ñ Ð²Ð¾Ð·Ð´ÐµÐ¹ÑÑÐ²Ð¸Ñ ÑÐ»ÐµÐºÑÑÐ¸ÑÐµÑÐºÐ¾Ð¹ Ð½Ð°Ð³ÑÑÐ·ÐºÐ¸, ÑÐ¾Ð·Ð´Ð°Ð²Ð°ÐµÐ¼Ð¾Ð¹ ÑÐ»ÐµÐºÑÑÐ¾Ð¼Ð¾Ð±Ð¸Ð»ÑÐ¼Ð¸, Ð½Ð° ÑÐ½ÐµÑÐ³Ð¾ÑÐ¸ÑÑÐµÐ¼Ñ. ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¿ÑÐ¾Ð²Ð¾Ð´Ð¸ÑÑÑ Ð² Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÑÐ·ÑÐºÐ° Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Python. Ð¦ÐµÐ»ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ðµ Ð½Ð°Ð´ÐµÐ¶Ð½Ð¾ÑÑÐ¸ Ð¸ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ ÑÐ»ÐµÐºÑÑÐ¾ÑÐµÑÐµÐ¹ Ð¿ÑÑÐµÐ¼ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ Ð¾ Ð·Ð°ÑÑÐ´Ð½ÑÑ ÑÐµÑÑÐ¸ÑÑ ÑÐ»ÐµÐºÑÑÐ¾Ð¼Ð¾Ð±Ð¸Ð»ÐµÐ¹. Ð Ð°Ð±Ð¾ÑÐ° Ð²ÐºÐ»ÑÑÐ°ÐµÑ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸, Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÑÑÐµÐ¹ Ð´Ð°Ð½Ð½ÑÐµ Ð¾ 70 000 Ð·Ð°ÑÑÐ´Ð½ÑÑ ÑÐµÑÑÐ¸ÑÑ ÑÐ»ÐµÐºÑÑÐ¾Ð¼Ð¾Ð±Ð¸Ð»ÐµÐ¹. ÐÐ»Ñ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÑÑÑÑ Ð¼ÐµÑÐ¾Ð´Ñ ÑÐµÐ³ÑÐµÑÑÐ¸Ð¾Ð½Ð½Ð¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð°, ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¸ ÐºÐ»Ð°ÑÑÐµÑÐ¸Ð·Ð°ÑÐ¸Ð¸. Ð¡Ð¸ÑÑÐµÐ¼Ð° Ð´Ð¾ÑÐ¾Ð³ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÑÐµÑÑÑ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ ÑÐµÐ°Ð»ÑÐ½Ð¾Ð¹ Ð´Ð¾ÑÐ¾Ð¶Ð½Ð¾Ð¹ Ð¸Ð½ÑÑÐ°ÑÑÑÑÐºÑÑÑÑ Ð³. Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³Ð°, ÑÑÐ¾ Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÐµÑ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°ÑÑ Ð¿ÐµÑÐµÐ´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ðµ ÑÐ»ÐµÐºÑÑÐ¾Ð¼Ð¾Ð±Ð¸Ð»ÐµÐ¹ Ð¸ Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°ÑÑ Ð¸Ñ ÑÐ½ÐµÑÐ³Ð¾Ð¿Ð¾ÑÑÐµÐ±Ð»ÐµÐ½Ð¸Ðµ. Ð Ð·Ð°ÐºÐ»ÑÑÐ¸ÑÐµÐ»ÑÐ½Ð¾Ð¹ ÑÐ°ÑÑÐ¸ ÑÐ°Ð±Ð¾ÑÑ Ð¿ÑÐµÐ´Ð»Ð°Ð³Ð°ÑÑÑÑ Ð¿ÑÐ°ÐºÑÐ¸ÑÐµÑÐºÐ¸Ðµ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¸ Ð´Ð»Ñ ÑÐ½ÐµÑÐ³ÐµÑÐ¸ÑÐµÑÐºÐ¸Ñ ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¹ Ð¿Ð¾ Ð¿Ð»Ð°Ð½Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¸ Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ð¸ ÑÐ°Ð±Ð¾ÑÑ ÑÐ»ÐµÐºÑÑÐ¾ÑÐµÑÐµÐ¹. ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¿Ð¾Ð´ÑÐµÑÐºÐ¸Ð²Ð°ÐµÑ Ð²Ð°Ð¶Ð½Ð¾ÑÑÑ Ð¸Ð½ÑÐµÐ³ÑÐ°ÑÐ¸Ð¸ ÑÐ¾Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÑ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð´Ð°Ð½Ð½ÑÑ Ð´Ð»Ñ Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¸ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð½Ð°Ð³ÑÑÐ·ÐºÐ°Ð¼Ð¸ Ð² ÑÑÐ»Ð¾Ð²Ð¸ÑÑ ÑÐ¾ÑÑÐ° ÑÐ¸ÑÐ»Ð° ÑÐ»ÐµÐºÑÑÐ¾Ð¼Ð¾Ð±Ð¸Ð»ÐµÐ¹.
description: The topic of the final qualification work: "Forecasting Electrical Load of Electric Vehicles: Modeling and Analysis". This work is dedicated to modeling and analyzing the impact of the electrical load created by electric vehicles on the power system. The research is conducted using the Python programming language. The objective is to enhance the reliability and efficiency of power grids by analyzing existing data on electric vehicle charging sessions. The study involves creating a model that utilizes data from 70,000 electric vehicle charging sessions. Regression analysis, classification, and clustering methods are used for the analysis. The road system is modeled based on the actual road infrastructure of Saint Petersburg, allowing for the simulation of electric vehicle movement and the prediction of their energy consumption. In the final part of the work, practical recommendations are provided for energy companies regarding the planning and optimization of power grid operations. The research emphasizes the importance of integrating modern data analysis methods for forecasting and managing loads in the context of the increasing number of electric vehicles.