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Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy [2017]

1
Solar Energy Forecasting and Optimization System for Efficient Renewable Energy Integration
2
Gradient Boosting Models for Photovoltaic Power Estimation Under Partial Shading Conditions
3
Multi-objective Optimization for Power Load Recommendation Considering User’s Comfort
4
An Approach for Erosion and Power Loss Prediction of Wind Turbines Using Big Data Analytics
5
Minimizing Grid Interaction of Solar Generation and DHW Loads in nZEBs Using Model-Free Reinforcement Learning
6
Improving Time-Series Rule Matching Performance for Detecting Energy Consumption Patterns
7
Probabilistic Wind Power Forecasting by Using Quantile Regression Analysis
8
Identifying Representative Load Time Series for Load Flow Calculations
9
Scalable Gaussian Process Models for Solar Power Forecasting
10
Wind Speed Forecasting Using Statistical and Machine Learning Methods: A Case Study in the UAE
11
NWP Ensembles for Wind Energy Uncertainty Estimates
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