CAISO (California) Hourly DAM LMP Prices for Primary AP Nodes

<1 Day Reporting Lag
Since 2016
Updated Daily
Daily Frequency
TH, DLAP, ELAP, SLAP, CLAP, MLAP

Hourly Day Ahead Market Locational Marginal Prices (LMP) for Primary Aggregated Pricing Nodes (AP Nodes) in $/MWh since 2016

This is an example data from history; subscriber data is updated daily
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Charts of CAISO (California) Hourly DAM LMP Prices for Primary AP Nodes

Applications

  • Short term commitments (forecast) of price
  • Seasonal average and distribution of price
  • Historical trade area and regional price analysis
  • Congestion and loss analysis for investments
  • Day ahead trading

DOCUMENTATION

CAISO (California) Hourly DAM LMP Prices for Primary AP Nodes

Overview

This data product offers hourly Day-Ahead Market (DAM) prices for TH, DLAP and ELAP aggregated nodes in CAISO since 2016. The AP Node coverage of the product is given below.

Day-Ahead Market provides a demand side opportunity to adjust load depending on price levels. The demand side has started to engage actively in the market and thus has the opportunity to adjust against fluctuating price patterns. Market members and market participants can balance their own portfolios by participating in the Day-Ahead Market. This allows participants to present more balanced structure to the market and decrease of imbalances of generation/consumption of units within their portfolios.

APNode or APN is an Aggregated Pricing Node (Aggregated Pnode) that can be a Load Aggregation Point, Trading Hub or any group of Pricing Nodes as defined by the California ISO.

LMP is the locational marginal price where demand at that PNode consistent with existing Transmission Constraints and the performance characteristics of resources. The Transmission Provider determines separate components of the LMP for the marginal cost of Energy, Marginal Cost of Congestion, and Marginal Cost of Losses relative to the Reference Bus, consistent with the following equation:

LMP = Energy + Loss + Congestion + GHG

AP Nodes Coverage

Here are the list of selected AP Nodes in this data product:

Node Type Number of AP Nodes
Trading hubs (TH) 3 AP Nodes
Default Load Aggregation Points (DLAP) 4 AP Nodes
Energy Imbalance Market Load Aggregation Points (ELAP) 9 AP Nodes
Type Code Name
TH NP15 North of Path 15
TH SP15 South of Path 15
TH ZP26 Zone Path 26
DLAP PGAE Pacific Gas and Electric
DLAP SCE Southern California Edison
DLAP SDGE San Diego Gas & Electric
DLAP VEA Valley Electric Association
ELAP AZPS Arizona Public Service
ELAP BANCSMUD BANC/SMUD
ELAP BCHA Powerex
ELAP IPCO Idaho Power
ELAP NEVP NV Energy
ELAP PACE PacifiCorp East
ELAP PACW PacifiCorp West
ELAP PGE Portland General Electric
ELAP PSEI Puget Sound Energy
ELAP SCL Seattle City Light
ELAP SRP Salt River Project

Metric Coverage

For each AP Node, you will find:

  • LMP (Locational Marginal Price)
  • Energy Price
  • Congestion Price
  • Loss Price
  • Green House Gas prices (GHG price occurs in limited AP Nodes)

Data Collection Methodology

  • Data is cleansed and organized to provide a ready for analysis dataset
  • Both historical and current dates of operations are aggregated
  • All date and hours are quality checked for consistency and completeness
  • Data updates from CAISO every day

California Independent System Operator (CAISO) is a non-profit Independent System Operator serving California. It oversees the operation of California's bulk electric power system, transmission lines, and electricity market generated and transmitted by its member utilities.

Key Features

  • Includes hourly price in $/MWh
  • Updated daily at or before 5:00 PM ET
  • Historical data goes back to 2016
  • Covers 3 Trading Hubs, 4 Default Load Aggregation Points, 8 Energy Imbalance Market Load Aggregation Points

Data Provider

Alta Bering

Until a few decades ago majority of us were employed in real world businesses. Alta Bering came out of a history of production technology and reconciled it with sophisticated algorithmic math, an after-thought in enterprise system functionality.We believe efficiency is key to mitigating scarcity economics. In the early 2000s, we set our sights on helping companies achieve higher efficiency and growth, not just growth.Today we enable advanced prescriptive analytics for data scientists and enterprise cloud platforms. Our goal is to help business analysts step up to corporate responsibility.Contact us for more about how we deliver our predictive analytics consulting to large and medium sized clients.

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