Projects
Excellent Execution. Measurable Results
Machine Learning that Improves Energy Efficiency Sales
I led an effort to develop and implement a sophisticated geospatial machine learning system aimed at internally disrupting the sales processes of energy efficiency programs at a well-known implementer. The strategy used in this technology is multifaceted, entailing a comprehensive analysis of customer, geographic, and regional data to identify prime targets for energy efficiency initiatives. This methodology has since been trailed, approved for use, and formalized as part of a process in efficiency programs within the territory of several leading U.S. utilities. When studied, the system increased sales rates by up to 25%.
Geospatial Machine Learning for Utility Forecasting
I spearheaded the development of innovative predictive models for the widespread adoption of Distributed Energy Resources (DERs) such as electric vehicles, solar installations, and heat pumps. These models, pivotal in their role, are currently deployed by utilities serving an extensive customer base of over 42 million electric meter accounts. The approach adopted by the team is comprehensive, involving a meticulous integration of detailed technical potential assessments with extensive customer data, culminating in both land-area and circuit-based forecasting. This methodology has been rigorously tested, validated, and integrated into the operational frameworks of these utilities, proving indispensable in enhancing their capabilities for long-term grid risk management and strategic planning. It has effectively equipped them to adeptly maneuver through the dynamic and complex landscape of energy distribution and consumer demand.
Electric Vehicle Charger Suitability Analysis
I orchestrated a suite of geospatial automation initiatives, fundamentally redefining the process of electric vehicle siting analysis across a spectrum of urban and rural environments. This transformative approach resulted in a marked decrease in data analysis durations, streamlining what were once prolonged, labor-intensive tasks into efficient, single-digit hour processes. The methodology employed involved the creation and integration of sophisticated algorithms and tools, specifically designed to automate data processing and analytical workflows. This innovation not only heightened the precision and efficiency of electric vehicle site selection but also significantly accelerated the associated infrastructure planning and decision-making processes. Through these efforts, Plentiful.ai has established itself as a leader in optimizing and modernizing electric vehicle infrastructure development.
Solar Inspection Software Platform DOE Grant
Over a span of three years, I led a team that undertook the ambitious development of a solar inspection data platform, representing a major leap forward in solar industry standards. This initiative, generously funded by the Department of Energy, was meticulously engineered to enable thorough empirical analysis, thus uncovering the most effective practices in solar installation. The project's approach was multifaceted, integrating principles of lean manufacturing and total quality management to set new benchmarks in the industry. This platform has undergone rigorous trials, earned validation, and has been integrated as a cornerstone tool in the operational frameworks of numerous prominent solar companies. Its implementation has dramatically enhanced the quality and efficiency of solar installations, leveraging data-driven insights to elevate industry practices.
Big Data Machine Learning Framework Development
I spearheaded the development of an expansive geospatial machine learning framework built on the Spark platform, marking a landmark achievement in technological innovation. This advanced framework forms the core infrastructure for a variety of predictive models, distinguished by its ability to process and analyze data on a massive scale with intricate precision. The system is meticulously engineered for robust performance and scalability, adept at managing and interpreting terabytes of data with remarkable accuracy. Its comprehensive forecasting capabilities and thorough evaluative processes have established it as an indispensable asset in the realm of geospatial data analysis and predictive modeling. This development not only signifies Plentiful.ai’s prowess in cutting-edge technology but also solidifies its role as a vanguard in the field of large-scale data analytics.