Energy Contour Forecasting Optimization with Smart Metering in Distribution Power Networks

CD Dumitru, A Gligor, I Vlasa, A Simo, S Dzitac - Sensors, 2023 - mdpi.com
Smart metering systems development and implementation in power distribution networks
can be seen as an important factor that led to a major technological upgrade and one of the …

Integrating the industrial consumer into smart grid by load curve forecasting using machine learning

S Ungureanu, V Ţopa, A Cziker - 2019 8th International …, 2019 - ieeexplore.ieee.org
Integration of industrial consumers into the smart grid concept can be facilitated by
optimizing short and very short-term forecasts of load curves for industrial consumers …

[PDF][PDF] Methodology for extracting dynamic standard load profiles from smart meter data

K Keitsch, H Kondziella, T Bruckner - Symposium Energieinnovation, 2016 - tugraz.at
The German Federal Ministry for Economic Affairs and Energy published a white book for a
new power market design to support the transition of the national energy system …

Modelling and forecasting of electrical consumption for demand response applications

I Crucianu, O Bularca… - 2019 IEEE Milan …, 2019 - ieeexplore.ieee.org
The emergence of concepts, policies and applications like smart grid, energy communities,
carbon footprint reduction, energy-efficient consumption, demand response, demand side …

Forecasting of smart meter time series based on neural networks

T Zufferey, A Ulbig, S Koch, G Hug - … , DARE 2016, Riva del Garda, Italy …, 2017 - Springer
In traditional power networks, Distribution System Operators (DSOs) used to monitor energy
flows on a medium-or high-voltage level for an ensemble of consumers and the low-voltage …

Time series method for short-term load forecasting using smart metering in distribution systems

N Ding, Y Besanger, F Wurtz, G Antoine… - 2011 IEEE …, 2011 - ieeexplore.ieee.org
Recently, the research community gave a particular attention to the “smart grid” concept
since it enables a higher efficiency to answer users' energy needs. Smart grid networks …

Short term electricity forecasting using individual smart meter data

K Gajowniczek, T Ząbkowski - Procedia Computer Science, 2014 - Elsevier
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 …

Electricity load forecasting in a smart grid system

CY Shen, HF Wang - Intelligent Data Analysis, 2016 - content.iospress.com
Smart grid has recently become a common system in many countries, and smart meter is
one of the essential components of this system. The consumption data gathered from smart …

Load forecasting benchmark for smart meter data

J Viana, RJ Bessa, J Sousa - 2019 IEEE Milan PowerTech, 2019 - ieeexplore.ieee.org
Actual integration of high-tech devices brings opportunities for better monitoring,
management and control of low voltage networks. In this new paradigm, efficient tools …

Novel method for typical load curves characterization of industrial consumers towards the smart grids

RCG Teive, FF Andrade, EACA Neto… - … on Intelligent System …, 2015 - ieeexplore.ieee.org
With the advent of smart grids, the volume of data from metering and information about
consumers to be storaged and analysed by the distribution companies will be very large …