Recent trends in load forecasting technology for the operation optimization of distributed energy system

P Su, X Tian, Y Wang, S Deng, J Zhao, Q An, Y Wang - Energies, 2017 - mdpi.com
The introduction of renewable resources into the distributed energy system has challenged
the operation optimization of the distributed energy system. Integration of new technologies …

Optimization of Short-Term Forecast of Electric Power Demand in the city of Yaoundé-Cameroon by a hybrid model based on the combination of neural networks and …

NT Dieudonné, TKF Armel, DT Hermann… - … Forecasting and Social …, 2023 - Elsevier
Electrical load forecasting has become a very important task for the management and
planning of electrical energy. Several methods have been developed in the literature to …

A network analysis model for selecting sustainable technology

S Park, SJ Lee, S Jun - Sustainability, 2015 - mdpi.com
Most companies develop technologies to improve their competitiveness in the marketplace.
Typically, they then patent these technologies around the world in order to protect their …

Predicting renewable curtailment in distribution grids using neural networks

E Memmel, T Steens, S Schlüters, R Völker… - IEEE …, 2023 - ieeexplore.ieee.org
The growing integration of renewable energies into electricity grids leads to an increase of
grid congestions. One countermeasure is the curtailment of renewable energies, which has …

Short term electric load forecasting using neural network and genetic algorithm

MD Olagoke, AA Ayeni, MA Hambali - International Journal of Applied …, 2016 - ijais.org
The major predicament with electricity as a means of transporting energy is that it cannot be
stored unlike gas, oil, coal or hydrogen. Due to this, the electric power company faces …

Sustainability of the urban transport system under changes in weather and road conditions affecting vehicle operation

D Zakharov, E Magaril, EC Rada - Sustainability, 2018 - mdpi.com
The paper suggests a methodological approach for assessing the sustainability of the urban
transport system. Parameters were selected for assessing the sustainability of the transport …

Study of a gray genetic BP neural network model in fault monitoring and a diagnosis system for dam safety

HF Liu, C Ren, ZT Zheng, YJ Liang, XJ Lu - ISPRS International Journal of …, 2017 - mdpi.com
In this paper, a self-diagnosis system of observer fault with linear and non-linear
combination is studied in light of the unstable performance of the automatic monitoring …

Short-term load forecasting using time series clustering

A Martins, J Lagarto, H Canacsinh, F Reis… - Optimization and …, 2022 - Springer
Short-term load forecasting plays a major role in energy planning. Its accuracy has a direct
impact on the way power systems are operated and managed. We propose a new …

Analyzing the impact of variability and uncertainty on power system flexibility

CG Min - Applied Sciences, 2019 - mdpi.com
Featured Application This study presents a method for separating the variability and
uncertainty in a power system, and determining which is more influential in terms of …

Electrical load forecasting methodologies and approaches

S Tiwari - The Eurasia Proceedings of Science Technology …, 2022 - epstem.net
Load forecasting is indeed a strategy used mostly by power providers to predict the amount
of power or energy required to match market dynamics at all moments. Electricity load …