Predictive Modelling for Energy Management and Power Systems Engineering
Published on 30. September 2020
552 pages
978-0-12-817773-0 (ISBN)
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.
- Presents advanced optimization techniques to improve existing energy demand system
- Provides data-analytic models and their practical relevance in proven case studies
- Explores novel developments in machine-learning and artificial intelligence applied in energy management
- Provides modeling theory in an easy-to-read format
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Ravinesh Deo | Pijush Samui | Sanjiban Sekhar Roy
Predictive Modelling for Energy Management and Power Systems Engineering
Book
09/2020
Elsevier
€146.08
Shipment within 15-20 days
Content
- A Multi-Objective Optimal VAR Dispatch Using FACTS Devices Considering Voltage Stability and Contingency AnalysisNOUR EL YAKINE KOUBA
- PV panels lifespan increase by controlBechara NEHME
- Community-scale rural energy systems: General planning algorithms and management methods in developing countriesA. López-González
- Proven ESS Applications for Power System Stability and Transition IssuesJean Ubertalli
- Forecasting solar radiation with evolutionary polynomial regression, wavelet transform & ensemble empirical mode decompositionMohammad Rezaie-Balf, Sungwon Kim, Alireza Ghaemi and Ravinesh C. Deo
- Development and Comparison of Data-driven Models for Wind Speed Forecasting in AustraliaAnanta Neupane, Nawin Raj, Ravinesh Deo and Mumtaz Ali
- Modelling Photosynthetic Active Radiation with a Hybrid Multilayer Perceptron-Firefly Optimizer AlgorithmHarshna Lata Gounder, Zaher Munder Yaseen and Ravinesh Deo
- Predictive Modeling of Oscillating Plasma Energy Release for Clean Combustion EnginesMing Zheng and Ramendra Prasad
- Nowcasting solar irradiance for effective solar power plants operation and smart grid managementViorel Badescu
- Short-term energy demand modelling with hybrid emotional neural networks integrated with genetic algorithmSagthitharan Karalasingham, Ravinesh Deo and Ramendra Prasad
- Artificial Neural Networks and Adaptive Neuro-Fuzzy Inference System in energy modeling of agricultural productsAshkan Nabavi-Pelesaraei
- Support Vector Machine Models for Multi-Step Wind Speed ForecastingShobna Prasad, Thong Nguyen-Huy and Ravinesh Deo
- MARS Model for Prediction of Short and Long-term Global Solar RadiationL.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 capitalsJulio Cezar M. Siluk
- The trend of Energy Consumption in Developing Nations for the last two decades: A case study from a statistical perspectiveAnshuman Dey Kirty
