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 …
Load forecasting techniques for power system: Research challenges and survey
The main and pivot part of electric companies is the load forecasting. Decision-makers and
think tank of power sectors should forecast the future need of electricity with large accuracy …
think tank of power sectors should forecast the future need of electricity with large accuracy …
A comprehensive review of the load forecasting techniques using single and hybrid predictive models
A Al Mamun, M Sohel, N Mohammad… - IEEE …, 2020 - ieeexplore.ieee.org
Load forecasting is a pivotal part of the power utility companies. To provide load-shedding
free and uninterrupted power to the consumer, decision-makers in the utility sector must …
free and uninterrupted power to the consumer, decision-makers in the utility sector must …
Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directions
Energy management systems are designed to monitor, optimize, and control the smart grid
energy market. Demand-side management, considered as an essential part of the energy …
energy market. Demand-side management, considered as an essential part of the energy …
Integration of new evolutionary approach with artificial neural network for solving short term load forecast problem
Due to the explosion in restructuring of power markets within a deregulated economy,
competitive power market needs to minimize their required generation reserve gaps …
competitive power market needs to minimize their required generation reserve gaps …
Optimized structure of the traffic flow forecasting model with a deep learning approach
Forecasting accuracy is an important issue for successful intelligent traffic management,
especially in the domain of traffic efficiency and congestion reduction. The dawning of the …
especially in the domain of traffic efficiency and congestion reduction. The dawning of the …
An ensemble framework for short-term load forecasting based on parallel CNN and GRU with improved ResNet
H Hua, M Liu, Y Li, S Deng, Q Wang - Electric Power Systems Research, 2023 - Elsevier
Accurate and efficient load forecasting is of great significance for stable operation and
scheduling of modern power systems. However, load data are usually nonlinear and non …
scheduling of modern power systems. However, load data are usually nonlinear and non …
Short-term residential load forecasting using graph convolutional recurrent neural networks
The abundance of energy consumption data collected by smart meters has inspired
researchers to employ deep neural networks to solve the existing problems in the power …
researchers to employ deep neural networks to solve the existing problems in the power …
Heating, cooling, and electrical load forecasting for a large-scale district energy system
Load forecasting is critical for planning and optimizing operations for large energy systems
on a dynamic basis. As system complexity increases, the task of developing accurate …
on a dynamic basis. As system complexity increases, the task of developing accurate …
[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 …