Model Evaluation and Selection for Renewable Energy Forecasting
Expert-defined terms from the Professional Certificate in AI for Renewable Energy Forecasting (Thailand) course at Stanmore School of Business. Free to read, free to share, paired with a professional course.
Absolute Error is a common metric used to evaluate the performance of ren… #
Related terms include Mean Absolute Error and Mean Absolute Percentage Error.
Accuracy is the degree of correctness of a forecasting model, usually mea… #
Related terms include Precision and Recall.
Algorithm is a set of instructions used to train and test a renewable ene… #
Related terms include Machine Learning and Deep Learning.
Anomaly Detection is the process of identifying unusual patterns in renew… #
Related terms include Outlier Detection and Noise Reduction.
ARIMA is a popular statistical model used for forecasting renewable energ… #
Related terms include SARIMA and ARIMAX.
Artificial Intelligence is the field of study focused on developing intel… #
Related terms include Machine Learning and Deep Learning.
Autoencoder is a type of neural network used for dimensionality reduction… #
Related terms include Encoder and Decoder.
Backpropagation is a method used to train neural networks by minimizing t… #
Related terms include Optimization and Gradient Descent.
Bias #
Variance Tradeoff is the balance between the error introduced by bias and variance in a renewable energy forecasting model. Related terms include Overfitting and Underfitting.
Capacity Factor is the ratio of actual energy production to the maximum p… #
Related terms include Availability Factor and Utilization Factor.
Cloud Computing is a model for delivering computing services over the int… #
Related terms include Big Data and Data Analytics.
Confusion Matrix is a table used to evaluate the performance of a renewab… #
Related terms include Accuracy and Precision.
Cross #
Validation is a technique used to evaluate the performance of a renewable energy forecasting model by training and testing on multiple datasets. Related terms include Training Set and Testing Set.
Data Preprocessing is the step of cleaning, transforming, and preparing r… #
Related terms include Data Cleaning and Feature Engineering.
Decision Tree is a type of machine learning model used for renewable ener… #
Related terms include Random Forest and Gradient Boosting.
Deep Learning is a subset of machine learning that uses neural networks w… #
Related terms include Convolutional Neural Networks and Recurrent Neural Networks.
Demand Response is the ability of a renewable energy system to adjust ene… #
Related terms include Load Management and Energy Storage.
Energy Storage is the ability to store excess energy produced by a renewa… #
Related terms include Battery Storage and Pumped Hydro Storage.
Ensemble Method is a technique used to combine the predictions of multipl… #
Related terms include Bagging and Boosting.
Forecast Horizon is the time period for which a renewable energy forecast… #
Related terms include Short-Term Forecasting and Long-Term Forecasting.
Forecasting Model is a mathematical representation of a renewable energy… #
Related terms include Simulation Model and Optimization Model.
Geographic Information System is a tool used to analyze and visualize ren… #
Related terms include Spatial Analysis and Mapping.
Gradient Boosting is a type of machine learning model used for renewable… #
Related terms include Decision Tree and Random Forest.
Grid Integration is the process of connecting a renewable energy system t… #
Related terms include Smart Grid and Microgrid.
Intermittent Energy Source is a type of renewable energy source that is n… #
Related terms include Baseload Power and Peaking Power.
Kernel Method is a type of machine learning model used for renewable ener… #
Related terms include Support Vector Machine and Gaussian Process.
K-Fold Cross-Validation is a technique used to evaluate the performance o… #
Related terms include Training Set and Testing Set.
Load Forecasting is the process of predicting the future energy demand of… #
Related terms include Demand Response and Energy Storage.
Machine Learning is a field of study focused on developing algorithms and… #
Related terms include Deep Learning and Artificial Intelligence.
Mean Absolute Error is a metric used to evaluate the performance of renew… #
Related terms include Root Mean Squared Error and Mean Squared Error.
Mean Squared Error is a metric used to evaluate the performance of renewa… #
Related terms include Mean Absolute Error and Root Mean Squared Error.
Microgrid is a small #
scale power grid that can operate in isolation from the main grid, which often includes renewable energy sources. Related terms include Grid Integration and Energy Storage.
Model Selection is the process of choosing the best renewable energy fore… #
Related terms include Model Evaluation and Hyperparameter Tuning.
Model Tree is a type of machine learning model used for renewable energy… #
Related terms include Decision Tree and Linear Regression.
Neural Network is a type of machine learning model inspired by the struct… #
Related terms include Deep Learning and Backpropagation.
Noise Reduction is the process of removing random fluctuations from renew… #
Related terms include Anomaly Detection and Outlier Detection.
Normalization is the process of scaling renewable energy data to a common… #
Related terms include Feature Scaling and Data Preprocessing.
Numerical Weather Prediction is a method used to forecast weather pattern… #
Related terms include Weather Forecasting and Climate Modeling.
Optimization is the process of finding the best solution to a problem, su… #
Related terms include Hyperparameter Tuning and Model Selection.
Outlier Detection is the process of identifying unusual patterns in renew… #
Related terms include Anomaly Detection and Noise Reduction.
Overfitting is the phenomenon of a renewable energy forecasting model bei… #
Related terms include Underfitting and Regularization.
Peaking Power is the maximum power output of a renewable energy system, w… #
Related terms include Baseload Power and Intermittent Energy Source.
Precision is the ratio of true positives to the sum of true positives and… #
Related terms include Accuracy and Recall.
Random Forest is a type of machine learning model used for renewable ener… #
Related terms include Decision Tree and Gradient Boosting.
Recall is the ratio of true positives to the sum of true positives and fa… #
Related terms include Accuracy and Precision.
Regression Analysis is a statistical method used to model the relationshi… #
Related terms include Linear Regression and Nonlinear Regression.
Renewable Energy is energy generated from natural resources that can be r… #
Related terms include Sustainable Energy and Alternative Energy.
Renewable Energy Certificate is a document that represents the environmen… #
Related terms include Carbon Credit and Emissions Trading.
Residual Analysis is the process of examining the residuals of a renewabl… #
Related terms include Model Evaluation and Model Selection.
Root Mean Squared Error is a metric used to evaluate the performance of r… #
Related terms include Mean Absolute Error and Mean Squared Error.
Seasonal Decomposition is the process of separating a time series into tr… #
Related terms include Time Series Analysis and Forecasting.
Sensitivity Analysis is the process of examining how the output of a rene… #
Related terms include Uncertainty Analysis and Model Evaluation.
Smart Grid is a modern power grid that uses advanced technologies, such a… #
Related terms include Grid Integration and Energy Storage.
Solar Radiation is the amount of energy received from the sun, which is o… #
Related terms include Weather Forecasting and Climate Modeling.
Spatial Analysis is the process of analyzing and modeling geographic data… #
Related terms include Geographic Information System and Mapping.
Sustainable Energy is energy generated from natural resources that can be… #
Related terms include Renewable Energy and Alternative Energy.
Time Series Analysis is the process of examining and modeling time series… #
Related terms include Forecasting and Seasonal Decomposition.
Training Set is a subset of data used to train a renewable energy forecas… #
Related terms include Cross-Validation and Model Evaluation.
Uncertainty Analysis is the process of examining and quantifying the unce… #
Related terms include Sensitivity Analysis and Model Evaluation.
Underfitting is the phenomenon of a renewable energy forecasting model be… #
Related terms include Overfitting and Regularization.
Unit Commitment is the process of determining the optimal schedule for a… #
Related terms include Economic Dispatch and Load Forecasting.
Utility Function is a mathematical function used to represent the value o… #
Related terms include Decision Theory and Optimization.
Variable Selection is the process of selecting the most relevant input va… #
Related terms include Feature Engineering and Model Evaluation.
Vector Autoregression is a type of statistical model used for renewable e… #
Related terms include ARIMA and Time Series Analysis.
Weather Forecasting is the process of predicting weather patterns, which… #
Related terms include Numerical Weather Prediction and Climate Modeling.
Wind Power is a type of renewable energy generated from the wind, which i… #
Related terms include Solar Power and Hydro Power.
Wind Speed is the measure of the speed of the wind, which is often used a… #
Related terms include Weather Forecasting and Climate Modeling.