Short-term load forecasting at the distribution level predicts the load of substations, feeders,
transformers, and possibly customers from half an hour to one week ahead. Effective …

This paper proposes a simple empirical scaling law that describes load forecasting accuracy
at varying levels of aggregation. We show that for many forecasting methods, aggregating …

We propose a simple empirical scaling law that describes load forecasting accuracy at
different levels of aggregation. The model is justified based on a simple decomposition of …

False power consumption data injected from compromised smart meters in Advanced
Metering Infrastructure (AMI) of smart grids is a threat that negatively affects both customers …

Power system operators are confronted with a multitude of new forecasting tasks to ensure a
constant supply security despite the decreasing number of fully controllable energy …

High penetration levels of distributed generation (DG) and electric vehicles (EVs) diversify
power flow and bring uncertainty to distribution networks, making planning and control more …

Compromised smart meters reporting false power consumption data in Advanced Metering
Infrastructure (AMI) may have drastic consequences on a smart grid's operations. Most …

Compromised smart meters sending false power consumption data in Advanced Metering
Infrastructure (AMI) may have drastic consequences on the smart grid» s operation. Most …

An outage detection framework for power distribution networks is proposed. The framework
combines the use of optimally deployed real-time power flow sensors and that of load …

Smart metering is a quite new topic that has grown in importance all over the world and it
appears to be a remedy for rising prices of electricity. Forecasting electricity usage is an …