A review on performance of artificial intelligence and conventional method in mitigating PV grid-tied related power quality events
KW Kow, YW Wong, RK Rajkumar… - … and Sustainable Energy …, 2016 - Elsevier
Integration of renewable energy resources into power networks is the trend in power
distribution system. It is to reduce burden of centralized power plant and global emissions …
distribution system. It is to reduce burden of centralized power plant and global emissions …
A new IoT‐based smart energy meter for smart grids
DB Avancini, JJPC Rodrigues… - … Journal of Energy …, 2021 - Wiley Online Library
The significant increase in energy consumption by the growth of the population or by the use
of new equipment has brought big challenges to the energy security as well as the …
of new equipment has brought big challenges to the energy security as well as the …
[HTML][HTML] Ultra short-term power load forecasting based on similar day clustering and ensemble empirical mode decomposition
With the increasing demand of the power industry for load forecasting, improving the
accuracy of power load forecasting has become increasingly important. In this paper, we …
accuracy of power load forecasting has become increasingly important. In this paper, we …
[HTML][HTML] A Comprehensive Survey on Load Forecasting Hybrid Models: Navigating the Futuristic Demand Response Patterns through Experts and Intelligent Systems
Load forecasting is a crucial task, which is carried out by utility companies for sake of power
grids' successful planning, optimized operation and control, enhanced performance, and …
grids' successful planning, optimized operation and control, enhanced performance, and …
Approach for forecasting smart customer demand with significant energy demand variability
ZA Khan, D Jayaweera - … on power, Energy and Smart Grid …, 2018 - ieeexplore.ieee.org
Load forecasting in an emerging smart grid has become a challenging task. This paper
presents an innovative approach to forecast highly variable smart customer load using smart …
presents an innovative approach to forecast highly variable smart customer load using smart …
Planning and operational challenges in a smart grid
ZA Khan, D Jayaweera - Smart Power Systems and Renewable Energy …, 2016 - Springer
The power system planning and operation have always been challenging. However, with
the advent of the new technologies, the traditional power grids are moving towards smarter …
the advent of the new technologies, the traditional power grids are moving towards smarter …
[PDF][PDF] Chair of Electric Power Networks and Renewable Energy Sources
M Hasanov - 2022 - researchgate.net
The continuously escalating problem of the climate and environment forces the stakeholders
to switch to the renewable and zero-emission energy sources very rapidly. This introduces …
to switch to the renewable and zero-emission energy sources very rapidly. This introduces …
[PDF][PDF] Ultrakrótkoterminowe prognozy 15-minutowych wartości zapotrzebowania na energię elektryczną dla odbiorców nn z wykorzystaniem wybranych modeli …
A Grzyb, P Piotrowski - Przegląd Elektrotechniczny, 2017 - pe.org.pl
W artykule przedstawiono zagadnienia związane z wykonywaniem ultrakrótkoterminowych
prognoz 15-minutowych wartości zapotrzebowania na energię elektryczną odbiorców nn …
prognoz 15-minutowych wartości zapotrzebowania na energię elektryczną odbiorców nn …
Time Difference Calculation Settings for Very Short Term Electric Load Forecasting Using Interval Type-1 Fuzzy Inference System (IT-1 FIS)
Very short term electricity load forecasting (VSTLF) is done the day before forecasting every
30 minutes. This forecasting is imperative about the planning of operating plants, which are …
30 minutes. This forecasting is imperative about the planning of operating plants, which are …
Smart meter based profiling for load forecasting and demand side management in smart grids
ZA Khan - 2019 - etheses.bham.ac.uk
The smart grid incorporates an integrated system of smart meters and communication
networks that enable two-way communication between utilities and consumers. The …
networks that enable two-way communication between utilities and consumers. The …