This book highlights state-of-the-art research on renewable energy integration technology and suitable and efficient power generation, discussing smart grids, renewable energy grid integration, prediction control models, and econometric models for predicting the global solar radiation and factors that affect solar radiation, performance evaluation of photovoltaic systems, and improved energy consumption prediction models. It discusses several methods, algorithms, environmental data-based performance analyses, and experimental results to help readers gain a detailed understanding of the pros and cons of technologies in this rapidly growing area. Accordingly, it offers a valuable resource for students and researchers working on renewable energy optimization models.

Discusses technologies and models for renewable energy optimization and grid integration Covers smart grid technology, global solar radiation prediction control and econometric models, and photovoltaic system evaluation Describes models and approaches to improving power generation from renewable energy sources

Autorentext

Samsul Ariffin Bin Abdul Karim is a Senior Lecturer with the Fundamental and Applied Sciences Department and the Centre for Smart Grid Energy Research (CSMER) at the Institute of Autonomous Systems, Universiti Teknologi PETRONAS, Malaysia. He obtained his B.App.Sc., M.Sc. and PhD in Computational Mathematics & Computer Aided Geometric Design (CAGD) from Universiti Sains Malaysia (USM). He had 20 years of experience using Mathematica and MATLAB software for teaching and research activities. His research interests include curves and surfaces designing, geometric modeling and wavelets applications in image compression and statistics. He has published more than 120 papers in Journal and Conferences as well as seven books including two research monographs and three Edited Conference Volume and 20 book chapters. He was the recipient of Effective Education Delivery Award and Publication Award (Journal & Conference Paper), UTP Quality Day 2010, 2011 and 2012 respectively. He is Certified WOLFRAM Technology Associate, Mathematica Student Level. He has published one book with Springer: Sustaining Electrical Power Resources through Energy Optimization and Future, Engineering, Springer Briefs in Energy, 2018.

Ramani Kannan is a Senior Lecturer with the Department of Electrical and Electronics Engineering and the Center for Smart Grid Energy Research at the Institute of Autonomous Systems, Universiti Teknologi PETRONAS. He received his M.E. and Ph.D. from Anna University, India, in 2006 and 2012, respectively. He is an Associate Editor of IEEE Access, and a Regional Editor for the International Journal of Computer Aided Engineering and Technology. He has published 6 book chapters and more than 120 research papers in respected journals and conference proceedings. Mohd Faris bin Abdullah is an Associate Professor with the Department of Electrical & Electronic Engineering, Universiti Teknologi PETRONAS. He received his master's and Ph.D. degrees from the UniversitiTenaga Nasional and Universiti Teknologi PETRONAS, respectively. He is a member of the Institute of Engineers, Malaysia, and the Institute of Electrical & Electronics Engineers.

Inhalt

1. Fuzzy Regression Model to Predict Global Solar Radiation.- 2. Performance Evaluation of a 2-kWp Grid Connected Photovoltaic System at Gate 3 Universiti Teknologi PETRONAS.- 3. Energy Consumption Prediction Models Based on Improved ANFIS Approach of an Industrial System Plant.- 4. Cost Benefit Opportunity for End Use Segment using Lighting Retrofit at Taylor's University.- 5. A new topology of electrical field stress optimization strategy for Power MOSFET application in Radiation Environment.- 6. Time Series Models of High Frequency Solar Radiation Data.- Index.