The collection of time series data increases as more monitoring and automation are being
deployed. These deployments range in scale from an Internet of things (IoT) device located …

In this paper, we investigate a critical problem in smart meter data mining: computing
electricity consumption profiles. We present a simple, interpretable and practical profiling …

This paper discusses analytical aspects of smart grids and offers insights into the
development of a business intelligence solution for the electricity market. The goal is to …

Enormous amounts of time series are being collected in many different domains. These
include, but are not limited to, aviation, computing, energy, finance, logistics, and medicine …

Time series forecasting is crucial in a number of domains such as production planning and
energy load balancing. In these areas, forecasts are often required by non-expert users on …

Data persistence is a critical foundation for Internet of Things (IoT), it provides the capability
of data collection from IoT devices and pulls out these data by queries for applications to …

Several recent and ongoing smart grid projects aim at incorporating more renewable energy
sources (RES) into the energy production. Among them, the European MIRABEL project …

Heterogeneous smart grid systems operate with different and incompatible protocols.
MIRABEL and Open-ADR are prominent examples, providing intelligent demand respond …

The increasing capacities of renewable energy sources and the opportunities emerging from
the smart grid technology lead to new challenges for energy forecasters. Energy output …

As the provisioning of timely business insights becomes increasingly relevant for
organizations, realtime business intelligence (RTBI) is considered a promising vehicle to …