Boosting energy demand forecast accuracy by 24% for thousands of NYC buildings

Boosting energy demand forecast accuracy by 24% for thousands of NYC buildings

OneSix developed a deep learning-powered forecasting engine that improved demand forecast accuracy by 24% and automated long-range, hourly projections across 1,000+ buildings to support energy program participation.
Data Science
AI & Machine Learning
Forecasting

Overview

Manual energy forecasting process limited accuracy and scalability

An energy management firm needed to forecast electricity demand across approximately 1,000 buildings in New York to support demand-response and energy-efficiency programs such as NYISO’s Special Case Response.

The existing process was slow, manual, and error-prone—relying on spreadsheets and rough estimations to determine seasonal commitments. The forecasts had to be both granular (hourly) and long-range (up to six months), while accounting for complex, interacting seasonal patterns across a wide variety of building types.

Our Solution

AI-powered forecasting engine enables smarter, scalable planning

OneSix developed a forecasting and simulation engine powered by deep learning. The solution included:

The system was built using PyTorch and integrated with Torchcast to manage temporal data modeling and training workflows.

Results

Improved accuracy, automation, and program impact

Ready to unlock the full potential of data and AI?

Book a free consultation to learn how OneSix can help drive meaningful business outcomes.

Centralizing IT processes and data sources​ in renewable energy

Centralizing IT processes and data sources​ in renewable energy

By centralizing data and implementing near real-time analytics, OneSix enabled a renewable energy client to improve asset monitoring, accelerate decision-making, and enhance operational efficiency.
Data & App Engineering
Microsoft Azure
Power BI

Overview

Accelerating insights for renewable energy

When it came to the management of energy projects, our renewable energy client experienced a significant gap in analytics. Their legacy system didn’t provide data on asset utilization until weeks later, hindering their ability to make data-driven decisions in real time.

To speed up the time to insights, OneSix recommended a centralized data repository where asset management information can exist in one place for exploratory and standardized analysis.

Our Solution

Technology modernization and change management

As a trusted partner, OneSix built a deep understanding of the business, its unique challenges, and opportunities. With a focus on data centralization, the engagement has been a healthy combination of technology implementation and change management. ​

As part of a Dedicated Data Team (DDT), OneSix implemented a streamlined process to transform data from raw to business-level tables across internal and external sources. The outcome was a holistic view of project asset utilization. The OneSix DDT also supported and built out new integrations, reporting capabilities, and apps. This included building enterprise dashboards, public datasets, and data catalogs.

Technologies Implemented

Results

Near real-time project and asset monitoring

By harnessing near real-time actionable insights at both the project and asset level, significant strides were made in reducing response times to unexpected changes.

Additionally, our recommended approach to centralizing data movement and maintenance has been instrumental in enhancing operational efficiency. Streamlining data management into a centralized system has facilitated smoother access, analysis, and upkeep, thereby optimizing workflows and resource allocation across the board.

Ready to unlock the full potential of data and AI?

Book a free consultation to learn how OneSix can help drive meaningful business outcomes.