Short-term electricity price and load forecasting in isolated power grids based on composite neural network and gravitational search optimization algorithm
Electricity price forecasting is a key aspect for market participants to maximize their
economic efficiency in deregulated markets. Nevertheless, due to its non-linearity and non …
economic efficiency in deregulated markets. Nevertheless, due to its non-linearity and non …
A hybrid annual power load forecasting model based on generalized regression neural network with fruit fly optimization algorithm
H Li, S Guo, C Li, J Sun - Knowledge-Based Systems, 2013 - Elsevier
Accurate annual power load forecasting can provide reliable guidance for power grid
operation and power construction planning, which is also important for the sustainable …
operation and power construction planning, which is also important for the sustainable …
A least squares support vector machine model optimized by moth-flame optimization algorithm for annual power load forecasting
C Li, S Li, Y Liu - Applied Intelligence, 2016 - Springer
Annual power load forecasting is essential for the planning, operation and maintenance of
an electric power system, which can also mirror the economic development of a country to …
an electric power system, which can also mirror the economic development of a country to …
Eigen value based loss function for training attractors in iterated autoencoders
A Nouri, SA Seyyedsalehi - Neural Networks, 2023 - Elsevier
The way that the human brain handles the input variations has been one of the most
interesting areas of research for neuroscientists. There are some evidences that the human …
interesting areas of research for neuroscientists. There are some evidences that the human …
Annual electric load forecasting by a least squares support vector machine with a fruit fly optimization algorithm
H Li, S Guo, H Zhao, C Su, B Wang - Energies, 2012 - mdpi.com
The accuracy of annual electric load forecasting plays an important role in the economic and
social benefits of electric power systems. The least squares support vector machine …
social benefits of electric power systems. The least squares support vector machine …
Neural network based method for conversion of solar radiation data
The receiving ends of the solar energy conversion systems that generate heat or electricity
from radiation is usually tilted at an optimum angle to increase the solar incident on the …
from radiation is usually tilted at an optimum angle to increase the solar incident on the …
Forecasting Energy-Related CO2 Emissions Employing a Novel SSA-LSSVM Model: Considering Structural Factors in China
H Zhao, G Huang, N Yan - Energies, 2018 - mdpi.com
Carbon dioxide (CO2) emissions forecasting is becoming more important due to increasing
climatic problems, which contributes to developing scientific climate policies and making …
climatic problems, which contributes to developing scientific climate policies and making …
Energy-Related CO2 Emissions Forecasting Using an Improved LSSVM Model Optimized by Whale Optimization Algorithm
H Zhao, S Guo, H Zhao - Energies, 2017 - mdpi.com
Accurate and reliable forecasting on energy-related carbon dioxide (CO2) emissions is of
great significance for climate policy decision making and energy planning. Due to the …
great significance for climate policy decision making and energy planning. Due to the …
Prediction of CO2 emissions in China by generalized regression neural network optimized with fruit fly optimization algorithm
H Yue, L Bu - Environmental Science and Pollution Research, 2023 - Springer
As global warming becomes more prominent, the need to reduce carbon emissions to
achieve China's carbon peak target is increasing. It is imperative to seek effective methods …
achieve China's carbon peak target is increasing. It is imperative to seek effective methods …
Generalized feed-forward based method for wind energy prediction
Even though a number of new mathematical functions have been proposed for modeling
wind speed probability density distributions, still the Weibull function continues to be the …
wind speed probability density distributions, still the Weibull function continues to be the …