Forecasting and Modeling Engineer (Hybrid in Dayton, OH or Indianapolis, IN)

Are you ready to be part of a company that's not just talking about the future, but actively shaping it? Join The AES Corporation (NYSE: AES), a Fortune 500 company that's leading the charge in the global energy revolution. With operations spanning 14 countries, AES is committed to shaping a future through innovation and collaboration. Our dedication to innovation has earned us recognition as one of the Top Ten Best Workplaces for Innovators by Fast Company in 2022. And with our certification as a Great Place to Work, you can be confident that you're joining a company that values its people just as much as its groundbreaking ideas.

AES is proudly ranked #1 globally in renewable energy sales to corporations, and with $12.7B in revenues in 2023, we have the resources and expertise to make a significant impact as we provide electricity to 25 million customers worldwide. As the world moves towards a net-zero future, AES is committed to meeting the Paris Agreement's goals by 2050. Our innovative solutions, such as 24/7 carbon-free energy for data centers, are setting the pace for rapid, global decarbonization.

If you're ready to be part of a company that's not just adapting to change, but driving it, AES is the place for you. We're not just building a cleaner, more sustainable future - we're powering it. Apply now and energize your career with a true leader in the global energy transformation.

Demand Forecasting: Develop multi-year (1, 3, 5, 10, 20), multi-scenario, geo-referenced load forecasts supporting system modeling, analysis, and integrated planning efforts using industry leading LoadSEER demand forecasting software. Develop interfaces from LoadSEER to SAP, PSSE, CYME, SCADA/Pi, AMI, and GIS.

Monitoring and Analysis: Design and implement LoadSEER tools to extract asset load data from SCADA/Pi, AMI, known block load additions, and electrical cooperative and municipal load data. Utilize LoadSEER's SCADA scrubber to clean large asset data sets.

Load Research, Distributed Energy Resources (DER) Forecasting, Statistical Analyses: Conduct "bottom up" spatial analysis considering geographical, econometric, demographic, and transportation factors impacting long term load forecasts. Coordinate with Resource Planning "top down" to forecast distributed energy resources, energy efficiency, electric vehicles (EV's) and other appliance adoption rates and their impact on load using consistent data approaches. Utilize this detailed forecast methodology and process to create load forecast and scenarios available to export to PSSE and CYME for electrical engineering teams in modeling and analysis.

Solving Complex Issues: Solve diverse load forecasting problems and complete extensive analysis. Utilize analytical techniques necessary to handle assignments of moderate complexity. (e.g., by dividing the problem into component steps, and performing the analysis necessary to complete each step). Analyze and recommend enhancements to business processes.

Strategy Leader: Lead long-term load forecasting strategy and standard process development. Conduct macro-level and micro-level industry and firm analysis of industry trends and map out strategic short and long-term business plans based on the advanced and long-range forecasting trends derived from insights using AES processes and tools.

Vendor Selection and Management: Manage RFP processes, select third party vendors, negotiate contracts, and manage third party consultants that support load forecasting analysis and research as needed.

External Forecasting Liaison: Lead demand forecasting discussions with external entities like the Ohio PUCO, Indiana IURC, PJM, MISO, and others as needed, for strategic regulatory discussions about the changing load scenarios, impacts to the grid, and possible new business models.

Non-wires Alternatives (NWAs) Analysis: Provide forecasts and models to resolve feasibility of NWAs, participation in the development of NWA sections in siting applications, help implementing NWAs, if appropriate.

People Management: Work closely with transmission and distribution simulation and analysis engineers to develop annual assumptions and network models that coincide with available demand forecast data. Also, recruit and lead co-op and trainee staff members of up to two employees. Responsible for training and building a team of successful co-op's and entry level engineers to support demand forecasting. Serve as a mentor and coach for other engineering and non-technical staff.

Other Responsibilities: Participate in load forecasting industry groups and conferences; remain up to date with the latest load forecasting practice trends and research. Provide leadership on issues relating to load forecasting and research. Present to leadership key forecasting trends occurring and how it may impact our existing business model and open up opportunities to future business models.

Bachelor of Science Degree in Electrical, Mechanical Engineering, Computer Science or other related technical subject area from an accredited college or university required, preferably with an emphasis in power systems, energy systems, or Data Science.

Three or more years of power industry or similar experience with an understanding of load forecasting preferred.

Proven leadership ability to optimally supervise and advise the work of assigned personnel, external employees, and the ability to effectively and professionally take care of coworkers and customers is required.

Strong analytical skills, leadership, and communication skills

Excellent communication, collaboration and influencing skills at all levels of the organization

Proficient presentation skills, diplomacy and facilitation skills covering large and small group forums ranging from technical to non-technical audiences at all levels of corporate hierarchy

Track record of leading and managing teams and delivering against tight deadlines in fast-paced and demanding environments

Highly motivated self-starter with the ability and willingness to take initiative and champion process improvement

Working knowledge of FERC, Ohio PUCO, IURC procedures

Understanding of electrical engineering concepts such as power factor, losses, generator basics, power system design and architecture

Experience in weather normalization, load disaggregation, stochastic analysis, and probabilistic methods using SCADA and AMI data are beneficial

Analyzing large volumes of SCADA and AMI data using statistical and data analysis tools

Location Requirements: ability to commute to Indianapolis, IN or Dayton, OH office location is required; Hybrid position. Requires three days in the office.