Forecasting of Energy-Related CO2 Emissions in China Based on GM(1,1) and Least Squares Support Vector Machine Optimized by Modified Shuffled Frog Leaping Algorithm for Sustainability

Energy-Related CO2 Emissions Forecasting Using an Improved LSSVM Model Optimized by Whale Optimization Algorithm

(2017) et al.   Energies

Dynamic optimization of a hybrid system of energy-storing cryogenic carbon capture and a baseline power generation unit

(2016) Seyed Mostafa Safdarnejad et al.   APPLIED ENERGY

Comparison of strategies for multi-step ahead photovoltaic power forecasting models based on hybrid group method of data handling networks and least square support vector machine

(2016) M.G. De Giorgi et al.   ENERGY

Plant-level dynamic optimization of Cryogenic Carbon Capture with conventional and renewable power sources

(2015) Seyed Mostafa Safdarnejad et al.   APPLIED ENERGY

Prediction of Wind Power by Chaos and BP Artificial Neural Networks Approach Based on Genetic Algorithm

(2015) Dai-Zheng Huang et al.   Journal of Electrical Engineering & Technology

Improved shuffled frog leaping algorithm-based BP neural network and its application in bearing early fault diagnosis

(2015) Zhuanzhe Zhao et al.   NEURAL COMPUTING & APPLICATIONS

Process design and performance analysis of a Staged, Pressurized Oxy-Combustion (SPOC) power plant for carbon capture

(2014) Akshay Gopan et al.   APPLIED ENERGY

Wavelet Bootstrap Multiple Linear Regression Based Hybrid Modeling for Daily River Discharge Forecasting

(2014) Vinit Sehgal et al.   WATER RESOURCES MANAGEMENT

Optimizing post-combustion CO2 capture in response to volatile electricity prices

(2012) Stuart M. Cohen et al.   International Journal of Greenhouse Gas Control

Grey forecasting model for CO2 emissions: A Taiwan study

(2011) Chiun-Sin Lin et al.   APPLIED ENERGY

Systems dynamic model to forecast salinity load to the Colorado River due to urbanization within the Las Vegas Valley

(2011) Arjun K. Venkatesan et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Forecasting energy consumption using a grey model improved by incorporating genetic programming

(2010) Yi-Shian Lee et al.   ENERGY CONVERSION AND MANAGEMENT

A modified Artificial Bee Colony algorithm for real-parameter optimization

(2010) Bahriye Akay et al.   INFORMATION SCIENCES

An effective shuffled frog-leaping algorithm for lot-streaming flow shop scheduling problem

(2010) Quan-Ke Pan et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Electric load forecasting by support vector model

(2008) Wei-Chiang Hong   APPLIED MATHEMATICAL MODELLING

On the performance of artificial bee colony (ABC) algorithm

(2007) D. Karaboga et al.   APPLIED SOFT COMPUTING