A literature survey on load frequency control considering renewable energy integration in power system: Recent trends and future prospects
The electrical power system has experienced several changes during the last decade,
raised by continuously increasing load demand, rapid depletion in fossil fuels, and newly …
raised by continuously increasing load demand, rapid depletion in fossil fuels, and newly …
Load forecasting models in smart grid using smart meter information: A review
F Dewangan, AY Abdelaziz, M Biswal - Energies, 2023 - mdpi.com
The smart grid concept is introduced to accelerate the operational efficiency and enhance
the reliability and sustainability of power supply by operating in self-control mode to find and …
the reliability and sustainability of power supply by operating in self-control mode to find and …
[HTML][HTML] Optimized hybrid ensemble learning approaches applied to very short-term load forecasting
The significance of accurate short-term load forecasting (STLF) for modern power systems'
efficient and secure operation is paramount. This task is intricate due to cyclicity, non …
efficient and secure operation is paramount. This task is intricate due to cyclicity, non …
Vulnerability assessment of 6G-enabled smart grid cyber–physical systems
Next-generation wireless communication and networking technologies, such as sixth-
generation (6G) networks and software-defined Internet of Things (SDIoT), make cyber …
generation (6G) networks and software-defined Internet of Things (SDIoT), make cyber …
Multi-task short-term reactive and active load forecasting method based on attention-LSTM model
J Qin, Y Zhang, S Fan, X Hu, Y Huang, Z Lu… - International Journal of …, 2022 - Elsevier
With the rapid development of power markets, smart grids and large-scale renewable
energy generation, it is crucial to be able to accurately predict both reactive and active …
energy generation, it is crucial to be able to accurately predict both reactive and active …
A novel hybrid model based on combined preprocessing method and advanced optimization algorithm for power load forecasting
Y Nie, P Jiang, H Zhang - Applied Soft Computing, 2020 - Elsevier
Short-term power load forecasting occupies an important position in improving the operating
efficiency and economic effects of power system. Aiming at improving forecast performance …
efficiency and economic effects of power system. Aiming at improving forecast performance …
A CNN-Sequence-to-Sequence network with attention for residential short-term load forecasting
Residential short-term load forecasting has become an essential process to develop
successful demand response strategies, and help utilities and customers optimize energy …
successful demand response strategies, and help utilities and customers optimize energy …
Load forecasting through estimated parametrized based fuzzy inference system in smart grids
For optimal utilization of power generation resources, load forecasting plays a vital role in
balancing the load flow in a power distribution network. There are several drawbacks …
balancing the load flow in a power distribution network. There are several drawbacks …
Short term load forecasting with markovian switching distributed deep belief networks
In modern power systems, centralised short term load forecasting (STLF) methods raise
concern on high communication requirements and reliability when a central controller …
concern on high communication requirements and reliability when a central controller …
Evaluation of the potential of agricultural waste recovery: Energy densification as a factor for residual biomass logistics optimization
The use of residual forms of biomass, resulting from processes of transformation of the agri-
food and/or forest industries, presents itself as an alternative with high potential for energy …
food and/or forest industries, presents itself as an alternative with high potential for energy …