One of the most crucial tasks for utility companies is load forecasting in order to plan future
demand for generation capacity and infrastructure. Improving load forecasting accuracy over …

Accurate baseline load estimation is critical for the compensation settlement of incentive-
based demand response (DR). Baseline load estimation is different from load forecasting in …

Load forecasting is an expected ability of electric power networks to enable effective
capacity planning. This paper proposes a probabilistic approach to short-term load …

In small microgrids and individual branches of a bulk electrical grid, the aggregate electrical
load can contain significant and frequent peaks caused by large individual loads. These …

A transition from generation on demand to consumption on demand is one of the solutions to
overcome the many limitations associated with the higher penetration of renewable energy …

Ensuring sustainability demands more precise energy management to minimize energy
wastage. With the deployment of smart grids that provide a huge amount of data, new …

This paper presents a new method for forecasting a load of individual electricity consumers
using smart grid data and clustering. The data from all consumers are used for clustering to …

Electrical load forecasting in disaggregated levels is a difficult task due to time series
randomness, which leads to noise and consequently affects the quality of predictions. To …

Aggregated load forecasting provides a basis for load aggregators to take part in the power
market. By separating time series into several groups according to shape characteristic, k …

Résumé L'efficacité de la gestion des réseaux électriques dépend grandement de la
capacité à anticiper de manière fiable et précise la consommation énergétique future. Cette …