Review of low voltage load forecasting: Methods, applications, and recommendations
The increased digitalisation and monitoring of the energy system opens up numerous
opportunities to decarbonise the energy system. Applications on low voltage, local networks …
opportunities to decarbonise the energy system. Applications on low voltage, local networks …
Short term load forecasting
Electrification of transport and heating, and the integration of low carbon technologies (LCT)
is driving the need to know when and how much electricity is being consumed and …
is driving the need to know when and how much electricity is being consumed and …
[PDF][PDF] A review of publicly available energy data sets
With increasing levels of renewable energy powering our electricity system, data that tracks
energy generation, distribution and consumption has never been more important. For …
energy generation, distribution and consumption has never been more important. For …
On the evaluation of dynamic selection parameters for time series forecasting
Dynamic predictor selection has been applied to time series context to improve the accuracy
to forecast. A crucial step in dynamic selection methods if the definition of the region of …
to forecast. A crucial step in dynamic selection methods if the definition of the region of …
[PDF][PDF] Advancing methods for forecasting and analyzing low-voltage load data
M Voß - 2024 - depositonce.tu-berlin.de
As we move towards a low-carbon energy future, the role of low-voltage distribution
networks is increasing as they accommodate more distributed renewable energy resources …
networks is increasing as they accommodate more distributed renewable energy resources …
Permutation-based residential short-term load forecasting in the context of energy management optimization objectives
M Voss - Proceedings of the Eleventh ACM International …, 2020 - dl.acm.org
What makes a household-level short-term load forecast" good"? Individual household load
profiles are intermittent, as distinct peaks correspond to specific activities in the household …
profiles are intermittent, as distinct peaks correspond to specific activities in the household …
An Analysis of Short-Term Load Forecasting on Residential Buildings Using Deep Learning Models
S Suresh - 2020 - vtechworks.lib.vt.edu
Building energy load forecasting is becoming an increasingly important task with the rapid
deployment of smart homes, integration of renewables into the grid and the advent of …
deployment of smart homes, integration of renewables into the grid and the advent of …
[PDF][PDF] Dekarbonisierung des urbanen Verkehrs am Beispiel Berlin
D Göhlich - BAND 147 JAHRGANG 2021 - leibnizsozietaet.de
Dekarbonisierung des urbanen Verkehrs am Beispiel Berlin Page 116 Sitzungsberichte der
Leibniz-Sozietät 147 (2021), 117–131 der Wissenschaften zu Berlin Dietmar Göhlich …
Leibniz-Sozietät 147 (2021), 117–131 der Wissenschaften zu Berlin Dietmar Göhlich …