Deploy PJM Electricity Load Forecast Model on AWS SageMaker

in the energy industry, forecasting the grid load is vital for various commercial optimizations around Day Ahead and Real Time trading, but it also help Independent Power Providers (IPPs) allocate the right generation unites. we talked previously about energy markets, CAISO, PJM, ERCOT , and others. In this article the goal is not to talkContinue reading “Deploy PJM Electricity Load Forecast Model on AWS SageMaker”

Predicting Electricity Wholesale Prices using AWS Machine Learning

Electricity Wholesale Markets Most of the nation’s wholesale electricity sales happen in a competitive market managed by Independent System Operator (ISO), with over 200 million customers in these areas and over $120 billion in annual energy transactions taking place. Under the Federal Power Act, these markets are overseen by the Federal Energy Regulatory Commission (FERC),Continue reading “Predicting Electricity Wholesale Prices using AWS Machine Learning”

Using Smart Meter Data for consumer electricity usage forecasting

Electric energy consumption is essential for promoting economic development and raising the standard of living. In contrast to other energy sources, electric energy cannot be stored for large-scale consumption. From an economic viewpoint, the supply and demand of electric energy must be balanced at any given time. Therefore, a precise forecasting of electric energy consumptionContinue reading “Using Smart Meter Data for consumer electricity usage forecasting”

Querying Ercot public dataset using AWS Glue and Athena

ERCOT is an acronym for Electric Reliability Council of Texas, it manages the flow of electric power to more than 25 million Texas customers — representing about 90 percent of the state’s electric load. As the independent system operator for the region, ERCOT schedules power on an electric grid that connects more than 46,500 miles ofContinue reading “Querying Ercot public dataset using AWS Glue and Athena”