Maplewell Energy: Using AI and Intel Liftoff to Transform Energy Management
Maplewell Energy
Maplewell Energy, a forward-thinking AI business and Intel Liftoff member, is revolutionising energy management in commercial and industrial facilities. Matthew Irvin, co-founder and CEO of Maplewell, explains how the company’s cutting-edge JANiiT technology uses distributed battery storage to enable demand flexibility, resulting in considerable energy savings, grid service revenue, and enhanced energy resilience.
By addressing significant issues such interconnection delays, peak demand fees, and infrastructure constraints, JANiiT assists solar developers, facility managers, and distribution system operators in managing and optimising peak demand with an emphasis on grid optimisation and predictive control.
The capacity of Maplewell to integrate cutting-edge AI with practical energy technologies is what makes them unique. In addition to optimising energy demand, their platform allows new use cases such as community batteries, which give utilities a wire-free option.
JANiiT provides long-term grid stability and instant savings by installing energy storage behind the meter.
Maplewell has been able to expand and improve its capabilities as a part of the Intel Liftoff program.
The program has been crucial in assisting the business in addressing difficult time-series forecasting issues, which are a major energy management difficulty. Intel’s cutting-edge technology, such as the Intel Tiber AI Cloud, has allowed Maplewell to optimise their models for increased precision and effectiveness.
Furthermore, Intel has been able to overcome network latency and capacity limitations at customer sites by deploying cloud-based models at the edge with its hardware solutions, such as the NOOK tablet.
One of Maplewell’s most memorable experiences was when they participated in an Intel-hosted hackathon and investigated AWS’s Chronos LLM for time-series forecasting.
When compared to conventional methods, the model accuracy increased by 25%, yielding outstanding results. This illustrated the full potential of integrating AI advancements with Intel’s cloud and hardware infrastructure to maximise energy management on a large scale.
Maplewell has benefited greatly from the technical tools and business development assistance that the Intel Liftoff program has given it, setting it prepared for future expansion and success in the energy industry. Their collaboration with Intel continues to be crucial to Maplewell’s capacity to provide the market with innovative solutions as they develop and expand.
To learn more about their answer, watch this most recent video.
Modernising the Need for Energy
For commercial and industrial businesses, Maplewell‘s predictive Energy Management System unleashes demand flexibility at the grid edge.
Fully independent. control of demand charges in real time for the business and industrial sectors
Maximum Demand
Predictive control of demand and distributed energy resources can reduce peak demand by 50%.
Savings on Energy
Lower energy use and demand charges to save 40% on utility costs.
Decarbonisation
40% less greenhouse gas emissions can be achieved by optimising demand carbon intensity.
Adaptability
Predictive maintenance and system demand monitoring can help you prevent operational interruptions.
Unlock Flexibility in Demand
Cost-effective, rapid deployment, and instant benefit for your electrification and ESG plan.
EV rapid charging, renewable energy, and capital-intensive energy efficiency measures aren’t always the quick fix. With predictive control of flexible loads, Maplewell’s JANiiT EMS lowers demand charges and has demonstrated a return on investment (ROI) in as little as one year, resulting in a 40% reduction in carbon intensity.
System for Energy Management
Introducing JANiiT
Using the most recent developments in artificial intelligence (AI), predictive control, optimisation, and Internet of Things (IoT) devices to manage distributed energy resources (DERs) and variable loads, a demand-side energy management system may unlock demand flexibility.
JANiiT Platform
Authority at the Periphery
Predictive and robust control behind the meter at the grid boundary.
Oversee in the Cloud
Keep an eye on and record cloud energy savings. Monitor the portfolio’s performance.
IoT Hardware Scale
Installation within a few days. hardware designed to work with your systems.
Hardware-Enabled Software
Interface for Users
- Use an event-driven interface to configure predictive control according to operational requirements.
- To increase resilience, plan the load for the next day depending on the microclimate and past demand.
- Utilise demand response by implementing demand flexibility in the current infrastructure.
Control by Prediction
- To further reduce peak, enhance energy consumption, and boost resilience, make use of DERs and flexible loads with predictive control.
- Manage and oversee DERs to optimise dependability and operate vital systems.
- Get ready for the increase in building, industrial, and transportation electrification.
Optimisation
- Keep the platform available by keeping an eye on diagnostics and edge-running services.
- Hardware diagnostics and defect notifications are displayed on the Edge maintenance dashboard.
- Increase hardware controller uptime to satisfy mission-critical system needs.
Dispatch
- In order to optimise ROI and complement one another, oversee all energy conservation measures (ECMs).
- DERs available on-site and demand forecasting.
- To lessen peak demand, state learning detects load flexibility and instantly adjusts supply and demand.