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Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy [2017]
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Solar Energy Forecasting and Optimization System for Efficient Renewable Energy Integration
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Gradient Boosting Models for Photovoltaic Power Estimation Under Partial Shading Conditions
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Multi-objective Optimization for Power Load Recommendation Considering User’s Comfort
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An Approach for Erosion and Power Loss Prediction of Wind Turbines Using Big Data Analytics
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Minimizing Grid Interaction of Solar Generation and DHW Loads in nZEBs Using Model-Free Reinforcement Learning
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Improving Time-Series Rule Matching Performance for Detecting Energy Consumption Patterns
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Probabilistic Wind Power Forecasting by Using Quantile Regression Analysis
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Identifying Representative Load Time Series for Load Flow Calculations
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Scalable Gaussian Process Models for Solar Power Forecasting
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Wind Speed Forecasting Using Statistical and Machine Learning Methods: A Case Study in the UAE
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NWP Ensembles for Wind Energy Uncertainty Estimates