most citedThe Role of Big Data on Smart Grid Transition

15 citations · 30 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NE2022★ 3 cited

Automatic Synthesis of Neurons for Recurrent Neural Nets

Roland Olsson, Chau Tran, Lars Magnusson

We present a new class of neurons, ARNs, which give a cross entropy on test data that is up to three times lower than the one achieved by carefully optimized LSTM neurons. The expl…

cs.SE2017★ 2 cited

Graph of Virtual Actors (GOVA): a Big Data Analytics Architecture for IoT

The-Hien Dang-Ha, Davide Roverso, Roland Olsson

With the emergence of cloud computing and sensor technologies, Big Data analytics for the Internet of Things (IoT) has become the main force behind many innovative solutions for ou…

stat.AP2017★ 4 cited

Clustering Methods for Electricity Consumers: An Empirical Study in Hvaler-Norway

The-Hien Dang-Ha, Roland Olsson, Hao Wang

The development of Smart Grid in Norway in specific and Europe/US in general will shortly lead to the availability of massive amount of fine-grained spatio-temporal consumption dat…

cs.CY2017★ 15 cited

The Role of Big Data on Smart Grid Transition

The-Hien Dang-Ha, Roland Olsson, Hao Wang

Despite being popularly referred to as the ultimate solution for all problems of our current electric power system, smart grid is still a growing and unstable concept. It is usuall…

math.OC2017★ 6 cited

Local Short Term Electricity Load Forecasting: Automatic Approaches

The-Hien Dang-Ha, Filippo Maria Bianchi, Roland Olsson

Short-Term Load Forecasting (STLF) is a fundamental component in the efficient management of power systems, which has been studied intensively over the past 50 years. The emerging…