Data-Driven Insights with MATLAB Analytics: An Energy Load Forecasting Case Study

DATA ANALYTICS USE CASE Energy producers, grid operators, and traders must make decisions based on an estimate of future load on the electrical grid. As a result, accurate forecasts of energy load are both a necessity and a business advantage. The vast amounts of data available today have made it possible to create highly accurate forecast models. The challenge lies in developing data analytics workflows that can turn this raw data into actionable insights. A typical workflow involves four steps, each of which brings its own challenges: Importing data from disparate sources, such as web archives, databases, and spreadsheets Cleaning the data by removing outliers, and noise, and combining data sets Developing an accurate predictive model based on the aggregated data using machine learning techniques Deploying the model as an…


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