CCGPA‐MPPT: Cauchy preferential crossover‐based global pollination algorithm for MPPT in photovoltaic system
In general, the photovoltaic (PV) is considered as the best selection among renewable
energy resources due to its nonpolluted operation and good flexibility condition. The PV …
energy resources due to its nonpolluted operation and good flexibility condition. The PV …
Day-ahead load forecast using random forest and expert input selection
The electrical load forecast is getting more and more important in recent years due to the
electricity market deregulation and integration of renewable resources. To overcome the …
electricity market deregulation and integration of renewable resources. To overcome the …
Daily PM2. 5 concentration prediction based on principal component analysis and LSSVM optimized by cuckoo search algorithm
W Sun, J Sun - Journal of environmental management, 2017 - Elsevier
Increased attention has been paid to PM 2.5 pollution in China. Due to its detrimental effects
on environment and health, it is important to establish a PM 2.5 concentration forecasting …
on environment and health, it is important to establish a PM 2.5 concentration forecasting …
Hybrid bio-Inspired computational intelligence techniques for solving power system optimization problems: A comprehensive survey
I Rahman, J Mohamad-Saleh - Applied Soft Computing, 2018 - Elsevier
Optimization problems of modern day power system are very challenging to resolve
because of its design complexity, wide geographical dispersion and influence from many …
because of its design complexity, wide geographical dispersion and influence from many …
Traffic flow forecasting by a least squares support vector machine with a fruit fly optimization algorithm
Y Cong, J Wang, X Li - Procedia Engineering, 2016 - Elsevier
The accuracy of traffic flow forecasting plays an important role in the field of modern
Intelligent Transportation Systems (ITS). The least squares support vector machine (LSSVM) …
Intelligent Transportation Systems (ITS). The least squares support vector machine (LSSVM) …
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 …
Short-term traffic flow prediction based on least square support vector machine with hybrid optimization algorithm
Accurate short-term traffic flow prediction plays an indispensable role for solving traffic
congestion. However, the structure of traffic data is nonlinear and complicated. It is a …
congestion. However, the structure of traffic data is nonlinear and complicated. It is a …
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 …
Prediction of dissolved oxygen content in river crab culture based on least squares support vector regression optimized by improved particle swarm optimization
It is important to set up a precise predictive model to obtain clear knowledge of the
prospective changing conditions of dissolved oxygen content in intensive aquaculture ponds …
prospective changing conditions of dissolved oxygen content in intensive aquaculture ponds …
Experimental observations and SVM-based prediction of properties of polypropylene fibres reinforced self-compacting composites incorporating nano-CuO
This paper presents an experimental study to examine the hardened and fresh properties of
self-compacting concrete (SCC) containing nano-CuO (NC) and polypropylene (PP) fibres …
self-compacting concrete (SCC) containing nano-CuO (NC) and polypropylene (PP) fibres …