The electricity consuming pattern can be found by clustering analysis on the time series of electricity usage with the similarity measurements. Figure 1.

This paper provides a general overview of electricity consumption and peak load in California, by both sector and end use. We examine the growth in electricity ...

In this work, we propose a novel pattern-based hierarchical time series forecasting (PHF) method which consists of two aggregation stages. In the first ...

We explore electricity consumption patterns by clustering analysis and build a new consumption pattern based time series hierarchy.

We explore consumption patterns of electricity smart meter data. Consumption patterns are extracted from amounts of individual household time series by using ...

Bibliographic details on Hierarchical Electricity Demand Forecasting by Exploring the Electricity Consumption Patterns.

Apr 15, 2023 · This work proposes a hierarchical forecast reconciliation approach aimed at delivering accurate forecasts of energy demand across all divisions ...

This paper presents a novel hierarchical forecasting method with consumption hierarchical aggregation constraints to improve the electricity demand ...

In this paper, we propose a novel clustering-based hierarchical electricity time series forecasting approach. Instead of dealing with the geographical hierarchy ...

Apr 4, 2022 · The mini-dissertation investigates ways to anticipate power usage using hierarchical time series and South African data. Approaches such as top-.