Strategen

Berkeley, CA

Pinned Repositories

dgen
The Distributed Generation Market Demand (dGen) model simulates customer adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the United States and other countries.
Language:Python00
IMPLAN_Data_Aggregator
Aggregates and cleans data downloaded from the IMPLAN model. Used in the 2023 project with NRECA
Language:Jupyter Notebook00
MISO_MCP
Pulls MISO day ahead market MCPs for a specified day range
Language:Jupyter Notebook00
OASIS
Pulls day ahead prices for a given year and node
Language:Jupyter Notebook10
PHMSA_Aggregator
Pulls a specific utilities data from CSV yearly CSV file downloads.
Language:Jupyter Notebook0 0 00
PowerSimData
Simulation framework
Language:Python00
PRESTO
Presto API for Python
Language:Jupyter Notebook00

StrategenModels/OASIS
Pulls day ahead prices for a given year and node
Language:Jupyter Notebook10
StrategenModels/dgen
The Distributed Generation Market Demand (dGen) model simulates customer adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the United States and other countries.
Language:Python00
StrategenModels/IMPLAN_Data_Aggregator
Aggregates and cleans data downloaded from the IMPLAN model. Used in the 2023 project with NRECA
Language:Jupyter Notebook00
StrategenModels/MISO_MCP
Pulls MISO day ahead market MCPs for a specified day range
Language:Jupyter Notebook00
StrategenModels/PHMSA_Aggregator
Pulls a specific utilities data from CSV yearly CSV file downloads.
Language:Jupyter Notebook0 0 00
StrategenModels/PowerSimData
Simulation framework
Language:Python00
StrategenModels/PRESTO
Presto API for Python
Language:Jupyter Notebook00