Predictive Modelling for Energy Management and Power Systems Engineering – Ebook PDF Instant Delivery – ISBN(s): 9780128177723,0128177721
Product details:
- ISBN-10 : 0128177721
- ISBN-13 : 978-0128177723
- Author: Ravinesh Deo , Pijush Samui , Sanjiban Sekhar Roy
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.
Table contents:
Chapter 1 – A Multiobjective optimal VAR dispatch using FACTS devices considering voltage stability and contingency analysis
Chapter 2 – Photovoltaic panels life span increase by control
Chapter 3 – Community-scale rural energy systems: General planning algorithms and methods for developing countries
Chapter 4 – Proven energy storage system applications for power systems stability and transition issues
Chapter 5 – Design and performance of two decomposition paradigms in forecasting daily solar radiation with evolutionary polynomial regression: wavelet transform versus ensemble empirical mode decomposition
Chapter 6 – Development of data-driven models for wind speed forecasting in Australia
Chapter 7 – Hybrid multilayer perceptron-firefly optimizer algorithm for modelling photosynthetic active solar radiation for biofuel energy exploration
Chapter 8 – Predictive modeling of oscillating plasma energy release for clean combustion engines
Chapter 9 – Nowcasting solar irradiance for effective solar power plants operation and smart grid management
Chapter 10 – Short-term electrical energy demand prediction under heat island effects using emotional neural network integrated with genetic algorithm
Chapter 11 – Artificial neural networks and adaptive neuro-fuzzy inference system in energy modeling of agricultural products
Chapter 12 – Support vector machine model for multistep wind speed forecasting
Chapter 13 – MARS model for prediction of short- and long-term global solar radiation
Chapter 14 – Wind speed forecasting in Nepal using self-organizing map-based online sequential extreme learning machine
Chapter 15 – Potential growth in small-scale distributed generation systems in Brazilian capitals
Chapter 16 – Trend of energy consumption in developing nations in the last two decades: a case study from a statistical perspective
People also search:
predictive modelling for energy management and power systems engineering
department of energy energy modeling software
energy-based models for deep probabilistic regression
energy management process
energy management methods