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[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 …
A state-of-the-art review of artificial intelligence techniques for short-term electric load forecasting
According to privatization and deregulation of power system, accurate electric load
forecasting has come into prominence recently. The new energy market and the smart grid …
forecasting has come into prominence recently. The new energy market and the smart grid …
Improved EMD-based complex prediction model for wind power forecasting
As a response to rapidly increasing penetration of wind power generation in modern electric
power grids, accurate prediction models are crucial to deal with the associated uncertainties …
power grids, accurate prediction models are crucial to deal with the associated uncertainties …
[HTML][HTML] Highly accurate peak and valley prediction short-term net load forecasting approach based on decomposition for power systems with high PV penetration
The increasing penetration of photovoltaic has been resha** the electricity net load curve,
which has a significant impact on power system operation and short-term dispatch …
which has a significant impact on power system operation and short-term dispatch …
Using smart meter data to improve the accuracy of intraday load forecasting considering customer behavior similarities
With the deployment of advanced metering infrastructure (AMI), an avalanche of new energy-
use information became available. Better understanding of the actual power consumption …
use information became available. Better understanding of the actual power consumption …
Long term probabilistic load forecasting and normalization with hourly information
The classical approach to long term load forecasting is often limited to the use of load and
weather information occurring with monthly or annual frequency. This low resolution …
weather information occurring with monthly or annual frequency. This low resolution …
A novel electrical net-load forecasting model based on deep neural networks and wavelet transform integration
The increasing growth of renewable energy resources (RESs) in microgrids and the
uncertainty associated with their generation have led to problems in the management of …
uncertainty associated with their generation have led to problems in the management of …
A new fuzzy-based combined prediction interval for wind power forecasting
A Kavousi-Fard, A Khosravi… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
This paper makes use of the idea of prediction intervals (PIs) to capture the uncertainty
associated with wind power generation in power systems. Since the forecasting errors …
associated with wind power generation in power systems. Since the forecasting errors …
[КНИГА][B] Short term electric load forecasting
T Hong - 2010 - search.proquest.com
Load forecasting has been a conventional and important process in electric utilities since the
early 20 th century. Due to the deregulation of the electric utility industry, the utilities tend to …
early 20 th century. Due to the deregulation of the electric utility industry, the utilities tend to …
Wind speed and wind direction forecasting using echo state network with nonlinear functions
Wind turbines are among the most popular sources of renewable energy. The energy
available from wind varies widely because wind energy is highly dependent on continually …
available from wind varies widely because wind energy is highly dependent on continually …