Practical Examples of Energy Optimization Models [electronic resource] /
Karim, Samsul Ariffin Abdul.editor.(orcid)0000-0001-6518-6705https://orcid.org/0000-0001-6518-6705edt
Abdullah, Mohd Faris.editor.
Kannan, Ramani.editor.
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.
Includes index.
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. .
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.
Power electronics.
Mathematical optimization.
Energy systems.
Renewable energy resources.
Energy efficiency.
Energy harvesting.
Power Electronics, Electrical Machines and Networks.
Optimization.
Energy Systems.
Renewable and Green Energy.
Energy Efficiency.
Energy Harvesting.