Load Forecasting Manager

JOB

About the role:

San Diego Community Power (Community Power) is seeking a highly motivated and detail-oriented Load Forecasting and Analytics Manager for a critical role on the Power Services Team. Under supervision of the Director of Portfolio Management, the Load Forecasting Manager will lead load forecasting activities and perform a full range of duties utilizing statistical techniques to support energy procurement activities. The position will be responsible for implementation and maintenance of Community Power’s intermediate and long-term electric load forecast and monitoring and analysis of forecast-to-actual results.

Strong candidates will have significant load forecasting experience in the electric industry, proven statistical and data analysis abilities, knowledge California policy and electric rate development, and will be a proactive, big-picture thinker who also has a strong detail orientation and ability to work collaboratively with others.

WHO IS SAN DIEGO COMMUNITY POWER?

San Diego Community Power is a community-driven, not-for-profit public agency providing cleaner energy to the San Diego region. Formed in 2019, Community Power is the second largest Community Choice Aggregator (CCA) in California, serving nearly 1 million customer accounts across its member agencies: the Cities of San Diego, Chula Vista, Encinitas, Imperial Beach, La Mesa and National City, as well as the unincorporated areas of San Diego County.

OUR HISTORYSan Diego Community Power was formed in 2019 as a public, not-for-profit community choice aggregator (CCA) in the San Diego region. We began electric service in 2021 and now serve seven member agencies: the Cities of San Diego, Chula Vista, Encinitas, Imperial Beach, La Mesa and National City, as well as the unincorporated communities of San Diego County. San Diego Community Power was formed to bring local control and customer choice to San Diego while also providing clean and renewable energy at competitive rates.

We are the second largest CCA in California, serving nearly 1 million customers. For more information, please visit SD Community

Power.org.

COMMITMENT TO DIVERSITYAt SDCP, we value diversity and are committed to creating an inclusive environment for all employees. We represent a diverse customer base and hope to hire employees that reflect our communities. We provide equal employment opportunities to all applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

ESSENTIAL DUTIES AND PRIMARY RESPONSIBILITESLoad Forecast Management:

Take on primary responsibility for development of multi-year, hourly load forecasts that support energy purchasing, hedging, and integrated resource planning. Develop monthly peak forecasts used to support Resource Adequacy filings with the California Public Utilities Commission.

Set, monitor, and adjust projected hourly line loss factors used to calculate energy purchasing requirements. Maintain econometric models using forecast modeling software to forecast intermediate and long-term SDCP customer electric usage, energy and peak demand.

Oversee SDCP’s 14-day and day-ahead weather adjusted load forecasts. Assist with evaluation and improvement of short-term load forecast performance.

Collaborate with internal stakeholders (including finance, regulatory, planning, and programs teams) regarding forecast methodology and analysis to ensure deliverables to meet their needs

Monitoring and Analysis:

Design and implement a system to track and analyze accurate historical load forecasts monthly using industry standard methodologies including, but not limited to, back casting and weather normalization.

Support revenue forecasting, rate design (TOU, pilot rates, etc.) and cost of service analysis.

Load Research, Distributed Energy Resources (DER) Forecasting, Statistical Analyses:

Conduct “top down” macroeconomic research into factors such as population and economic growth and…