| Title |
Electricity customer segmentation and price sensitivity identification from electricity load pattern / |
| Translation of Title |
Elektros vartotojų segmentavimas ir jautrumo kainai identifikavimas remiantis elektros suvartojimo duomenimis. |
| Authors |
Meilūnas, Domas |
| Full Text |
|
| Pages |
36 |
| Keywords [eng] |
Functional Analysis, Smart metering, Clustering, Utilities, Price Sensitivity, FCM, CART |
| Abstract [eng] |
With the coming of smart grid comes new analytical possibilities and challenges for companies. Increased quantities of data open new possibilities for customer analytics like tracking power consumption behaviors of customers or customer classification according to their electricity consumption patterns or identification of pricing effect on electricity usage. Understanding the impact of pricing structures on consumer energy usage at different times of the day can be instrumental for energy providers and policymakers in understanding and designing pricing strategies that not only encourage more efficient energy use but also effectively manage the demand on the energy grid. This paper investigates possibility to identify price sensitivity of user just from their electricity usage habits and construct segmentation model to classify them into one of load patterns from historic electricity consumption data. |
| Dissertation Institution |
Vilniaus universitetas. |
| Type |
Master thesis |
| Language |
English |
| Publication date |
2024 |
