Hybrid advanced techniques for forecasting in energy sector / / edited by Wei-Chiang Hong.

• TeilnehmendeR: Hong, Wei-Chiang,
• Place / Publishing House: Basel, Switzerland : : MDPI - Multidisciplinary Digital Publishing Institute,, 2018.
• Year of Publication: 2018
• Language: English
• Physical Description: 1 online resource (250 pages)

Accurate forecasting performance in the energy sector is a primary factor in the modern restructured power market, accomplished by any novel advanced hybrid techniques. Particularly in the Big Data era, forecasting models are always based on a complex function combination, and energy data are always...

Table of Contents

• About the Special Issue Editor
• Preface to "Hybrid Advanced Techniques for Forecasting in Energy Sector"
• Guo-Feng Fan, Shan Qing, Hua Wang, Wei-Chiang Hong and Hong-Juan Li Support Vector Regression Model Based on Empirical Mode Decomposition and Auto Regression for Electric Load Forecasting Reprinted from: Energies 2013, 6, 1887-1901, doi: 10.3390/en6041887
• Qun Niu, Zhuo Zhou, Hong-Yun Zhang and Jing Deng An Improved Quantum-Behaved Particle Swarm Optimization Method for Economic Dispatch Problems with Multiple Fuel Options and Valve-Points Effects Reprinted from: Energies 2012, 5, 3655-3673, doi: 10.3390/en5093655
• Hongze Li, Sen Guo, Huiru Zhao, Chenbo Su and Bao Wang Annual Electric Load Forecasting by a Least Squares Support Vector Machine with a Fruit Fly Optimization Algorithm, Reprinted from: Energies 2012, 5, 4430-4445, doi: 10.3390/en5114430
• Ying-Yi Hong and Ching-Ping Wu Day-Ahead Electricity Price Forecasting Using a Hybrid Principal Component Reprinted from: Energies 2012, 5, 4711-4725, doi: 10.3390/en5114711
• Antonio Bracale, Pierluigi Caramia, Guido Carpinelli, Anna Rita Di Fazio and Gabriella Ferruzzi
• A Bayesian Method for Short-Term Probabilistic Forecasting of Photovoltaic Generation in Smart Grid Operation and Control Reprinted from: Energies 2013, 6, 733-747, doi: 10.3390/en6020733
• Qian Zhang, Kin Keung Lai, Dongxiao Niu, Qiang Wang and Xuebin Zhang A Fuzzy Group Forecasting Model Based on Least Squares Support Vector Machine (LS-SVM) for Short-Term Wind Power Reprinted from: Energies 2012, 5, 3329-3346, doi: 10.3390/en5093329
• Jaeyeong Yoo and Kyeon Hur Load Forecast Model Switching Scheme for Improved Robustness to Changes in Building Energy Consumption Patterns Reprinted from: Energies 2013, 6, 1329-1343, doi: 10.3390/en6031329
• Miloš Božic, Miloš Stojanovic, Zoran Stajic and Dragan Tasic A New Two-Stage Approach to Short Term Electrical Load Forecasting Reprinted from: Energies 2013, 6, 2130-2148, doi: 10.3390/en6042130
• Luis Hernandez, Carlos Baladrón, Javier M. Aguiar, Belén Carro, Antonio J. Sanchez-Esguevillas and Jaime Lloret Short-Term Load Forecasting for Microgrids Based on Artificial Neural Networks Reprinted from: Energies 2013, 6, 1385-1408, doi: 10.3390/en6031385
• Georgios Anastasiades and Patrick McSharry Quantile Forecasting of Wind Power Using Variability Indices Reprinted from: Energies 2013, 6, 662-695, doi: 10.3390/en6020662
• Félix Iglesias and Wolfgang Kastner Analysis of Similarity Measures in Times Series Clustering for the Discovery of Building Energy Patterns Reprinted from: Energies 2013, 6, 579-597, doi: 10.3390/en6020579
• Cruz E. Borges, Yoseba K. Penya, Iván Fernández, Juan Prieto and Oscar Bretos Assessing Tolerance-Based Robust Short-Term Load Forecasting in Buildings Reprinted from: Energies 2013, 6, 2110-2129, doi: 10.3390/en6042110
• Claudio Monteiro, Tiago Santos, L. Alfredo Fernandez-Jimenez, Ignacio J. Ramirez-Rosado and M. Sonia Terreros-Olarte Short-Term Power Forecasting Model for Photovoltaic Plants Based on Historical Similarity Reprinted from: Energies 2013, 6, 2624-2643, doi: 10.3390/en6052624
• Emanuele Ogliari, Francesco Grimaccia, Sonia Leva and Marco Mussetta Hybrid Predictive Models for Accurate Forecasting in PV Systems Reprinted from: Energies 2013, 6, 1918-1929, doi: 10.3390/en6041918.