- ホーム
- > 洋書
- > 英文書
- > Science / Mathematics
Full Description
Predictive Modeling for Energy Management and Power Systems Engineering introduces readers to the cutting-edge use of big data and large computational infrastructures in energy demand estimation and power management systems. The book supports engineers and scientists who seek to become familiar with advanced optimization techniques for power systems designs, optimization techniques and algorithms for consumer power management, and potential applications of machine learning and artificial intelligence in this field. The book provides modeling theory in an easy-to-read format, verified with on-site models and case studies for specific geographic regions and complex consumer markets.
Contents
A Multi-Objective Optimal VAR Dispatch Using FACTS Devices Considering Voltage Stability and Contingency Analysis
NOUR EL YAKINE KOUBA
PV panels lifespan increase by control
Bechara NEHME
Community-scale rural energy systems: General planning algorithms and management methods in developing countries
A. López-González
Proven ESS Applications for Power System Stability and Transition Issues
Jean Ubertalli
Forecasting solar radiation with evolutionary polynomial regression, wavelet transform & ensemble empirical mode decomposition
Mohammad Rezaie-Balf, Sungwon Kim, Alireza Ghaemi and Ravinesh C. Deo
Development and Comparison of Data-driven Models for Wind Speed Forecasting in Australia
Ananta Neupane, Nawin Raj, Ravinesh Deo and Mumtaz Ali
Modelling Photosynthetic Active Radiation with a Hybrid Multilayer Perceptron-Firefly Optimizer Algorithm
Harshna Lata Gounder, Zaher Munder Yaseen and Ravinesh Deo
Predictive Modeling of Oscillating Plasma Energy Release for Clean Combustion Engines
Ming Zheng and Ramendra Prasad
Nowcasting solar irradiance for effective solar power plants operation and smart grid management
Viorel Badescu
Short-term energy demand modelling with hybrid emotional neural networks integrated with genetic algorithm
Sagthitharan Karalasingham, Ravinesh Deo and Ramendra Prasad
Artificial Neural Networks and Adaptive Neuro-Fuzzy Inference System in energy modeling of agricultural products
Ashkan Nabavi-Pelesaraei
Support Vector Machine Models for Multi-Step Wind Speed Forecasting
Shobna Prasad, Thong Nguyen-Huy and Ravinesh Deo
MARS Model for Prediction of Short and Long-term Global Solar Radiation
L.J.M. Deilki Tharaka Balalla, Thong Nguyen-Huy and Ravinesh Deo
Wind Speed Forecasting in Nepal using Self Organizing Map-based Online Sequential Extreme Learning Machine (SOM-OSELM)
Neelesh Sharma and Ravinesh Deo
Potential growth in small-scale distributed generation systems in Brazilian capitals
Julio Cezar M. Siluk
The trend of Energy Consumption in Developing Nations for the last two decades: A case study from a statistical perspective
Anshuman Dey Kirty
