Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy

Chapter 1 Solar Energy Forecasting and Optimization System for Efficient Renewable Energy Integration

Chapter 2 Gradient Boosting Models for Photovoltaic Power Estimation Under Partial Shading Conditions

Chapter 3 Multi-objective Optimization for Power Load Recommendation Considering User’s Comfort

Chapter 4 An Approach for Erosion and Power Loss Prediction of Wind Turbines Using Big Data Analytics

Chapter 5 Minimizing Grid Interaction of Solar Generation and DHW Loads in nZEBs Using Model-Free Reinforcement Learning

Chapter 6 Improving Time-Series Rule Matching Performance for Detecting Energy Consumption Patterns

Chapter 7 Probabilistic Wind Power Forecasting by Using Quantile Regression Analysis

Chapter 9 Scalable Gaussian Process Models for Solar Power Forecasting

Chapter 10 Wind Speed Forecasting Using Statistical and Machine Learning Methods: A Case Study in the UAE

Chapter 11 NWP Ensembles for Wind Energy Uncertainty Estimates