AI-based predictive smart management technologies
for local renewables & off-grid systems
our mission is to reduce grid dominance and deliver where they do not to secure more independence and a better energy deal for local families, businesses, communities and the planet
annualized grid savings
compared to the same solar & battery equipment operated without AI-based predictive optimization and advanced smart management
see how our smart technologies add value to local renewable based systems
across energy and beyond
step 1
a patented smart engine adds core intelligence and automation to deliver
predictive weather-based charge management
machine learning and AI-driven weather-based prediction, planning and effortless
grid charge management for your local renewable energy system serving more of your energy needs with local green energy
making the grid an energy source of last resort
more grid savings from the same solar and battery equipment without management
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optimized local green energy assets & efficiencies to serve local demand
our technology controls the source(s) of energy applied to meet local demand, prioritizing maximum self-consumption of local green energy as it is generated and safely maximizing battery capacity use to store any surplus, which is then used to supply future demand: max. local yield & min. waste
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minimum quantity of grid to balance any shortfall of local green energy
with the ability to predict future availability of local green energy, demand and battery state-of-charge (SOC) it is possible to calculate in advance predicted deficit in local energy sources to supply local demand and the minimum quantity of additional energy needed to balance supply and demand
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control use of grid at optimal time(s) for 'when its on' and lowest available tariff
planned charging schedules and a controlled grid connection limits grid use to the predicted minimum quantity and takes it at the time(s) of most benefit to the user, navigating any scheduled grid outages (load shedding) and leveraging the lowest available time-of-use-tariffs to secure grid cost savings
smart engine can be deployed quickly
as a cloud-based plugin to inverter supplier’s existing end-user iPhone/Android apps or built into new custom solutions
unlock additional value for existing and new users &
new smart business opportunities for suppliers
learn how the predictive weather-based charge technology behind our smart engine works to deliver more savings and security for local users
smart engine quickly pays for itself
and delivers so much more besides
extension option 1
advanced smart management
even bigger grid savings and more flexibility and richer control over your local energy resources and other local resources, processes and applications
more grid savings from the same solar and battery equipment without management
in addition to potential grid savings achieved by the core predictive weather-based charge management
total combined
grid savings achieved in our reference system*
get creative and deliver more
what you want, when you want it & how you want it
powerful logic and conditional automation software tools
build customizable control over energy and other on-site resources to drive a wide range of more efficient, user-specific on-site processes and applications
flexible, modular range of integrated smart components
build almost limitless applications for energy and beyond including intelligent integration with local fossil fuel generators and sophisticated off-grid systems for any scale
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design and build intelligent applications to implement your all your preferences
build personalized applications to control and prioritize energy use by circuit/device tailoring and automating your chosen balance between which/when devices are on, energy source(s) & costs and eco-goals, easily configured with conditional logic rules, smart-device links and additional control devices (if needed) extending the reach and impact of the core smart engine
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let our powerful AI get to work easily managing your preferred outcomes
sit-back and relax as the AI gets to work monitoring historic, real-time and predicted conditions aiming to deliver all your preferred energy consumption with minimal use of grid, optionally, managing local generator resources to keep prioritized circuits/devices on when necessary and/or selectively shutting-down user-designated lower priority loads to conserve local energy aiming to balance demand
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more savings and better experiences as resources work smarter for you
break-away from traditional technologies which locked users into static benefit choices and constrained which energy devices could be connected to selected energy sources and/or available in case of a grid outages, whilst also enabling true ‘maximum self-consumption’ with smart switching of loads based on intelligence informed by past, present and predicted future conditions
managed by
automatically implemented user preferences and rich control logic intelligently driven by predictions and real-time conditions
see how it works
conceptual overview of advanced smart management powered by our core smart engine
smart resource management adds configurable logic toolkit for designing smart controls
optionally enhanced with additional data from environmental sensors, opens up a whole world of sophisticated bespoke controls and applications working to manage your energy resources and other resources and processes across your site
the source of energy applied to particular circuits and time-shifting is achieved our proprietary configurable smart transfer switches
these adapt to the different characteristics of connected load types managing a more seamless experience and reducing the risk of inverter tripping keeping the relevant circuit on whilst sources are switched automatically by our AI-based management
this important physical layer enables a wide range of additional flexibility, benefits and potential additional savings
accelerate maximized local self-consumption
pro-active, automated and dynamic action to time-shift energy use to an earlier time to maximize local application & value and to reduce waste
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increasingly, the local energy environment include electric vehicles (EV), heating-devices, non-battery storage devices, appliances & machinery and other applications which can use electricity today and conserve its value for future benefit - a pool of ‘extended storage’ and local value potential on top of the core local battery resources
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our AI-based technologies use local historic and future data to predict when there is likely to be surplus local green energy relative to local demand and energy stored in local batteries across points in time in the future
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our super-powerful ‘user preferences’ tools enable users to define their energy usage priorities, enabling a high degree of control and sophistication over your energy sources and usage to meet more of your goals and secure even more local user value - choose and easily change your own balance between lifestyle | energy security | cost savings | carbon reduction | degrees of grid independence
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our flexible architecture and ‘open by design’ platform supports the widest range of local energy consumption & storage device, controlling energy source(s) delivered to specific circuits an, direct control of supported smart plugs, smart lights and other IOT/smart connected devices over industry standard protocols e.g. zigbee
time-shifting demand shifting introduces an additional element of ‘energy agility’ which adds even more local user value
bringing-forwards selected loads to to time of excessive surplus solar to make use of local green energy which would otherwise go to waste and conserves stored energy in the full batteries for use at a later time to reduce grid, ideally during peak grid rate periods
selectively pause or time-shift to a later time chosen loads automatically if needed
to restore energy balance using less grid when local demand is higher than can be supplied with available local green energy from real-time generation and/or battery storage, re-connecting to energy supply in particular conditions if that is the user’s preference
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it is natural for local conditions to vary to some degree from historic patterns and/or forecast conditions, sometimes resulting in a shortfall of local green energy compared to the prediction and plan (although the longer our smart-optimizer used, the richer its historic database becomes, closing the gap)
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without smart-management, the typical uncontrolled system reaction would be to resort to grid energy at that point in time of need - incurring addition grid cost expense, which by chance, could fall into lower rate or higher rate grid tariff periods
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typically, not all local loads will be critical `‘must have’ priorities, so user can define a ‘waterfall’ of load-priorities and then relax as our smart-optimizer turns off non-priority circuits and/or supported smart enabled devices until the user’s defined time and/or local conditions have been met - including switching back to grid (or local generators)) at any time if keeping that load powered-up becomes the priority e.g. user’s preference is to have hot water on between 06.00-08.00 even if this uses grid energy at that time
manage energy security and generator fuel costs
optimize use of local generators for extended resilience and to manage fuel costs
our smart-management extends to on-site fossil fuel generators which can be controlled automatically to meet user’s preferred balance between energy availability, fuel-resource management and desire to minimize carbon-based energy usage
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it may be the user’s priority to have local power available from local fossil fuel generators - especially when there is not enough local green energy available from real-time generation (e.g. at night/poor weather conditions), the local storage batteries are at minimum state of charge (SOC) and the grid is out (e.g. because of adverse weather/storms or where the grid is subject to local load shedding periods).
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using our environmental sensors with the core smart-management system enables remote monitoring, with alarms, and starter battery SOC and fuel-tank level monitoring to help de-risk the potential for ‘fail to start’ situations when generator power is needed to supply demand, sometimes in critical or emergency situations
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dollar-for-dollar, energy sourced from on-site fossil fuel generators is often the most expensive option - typically costing more than grid energy when all costs, including CAPEX, maintenance and fuel costs are considered
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with our smart-optimization and waterfall preferences it is now easier than ever before to ‘go green’ without giving up the protections of energy security afforded by appropriately managed use of grid and fossil fuel generators
extend system value, ease-of-use and reach
beyond your core renewable based energy system
advanced monitoring, including applications going beyond energy
modular temperature, fluid level and customized sensors can be applied in many different use-cases to provide additional data enabling the core smart-system to deliver advanced condition monitoring, alarms and a wide range of energy and non-energy applications
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easily add our environmental sensors into your smart-system to support a wide range of use-cases and applications adding additional classes of local environment data to the existing core energy data set
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with a rich combination of local environmental condition data, energy system data, weather-forecast data and user preferences our smart-manager tool can be used to setup customized applications using our built in conditional logic tools
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the uninterruptible power supply (UPS) capabilities of a smart-system is a key resource, often purchased as a an expensive stand-alone system for mission critical applications such as cellar flood monitoring/management with remote alarms and automated - get creative with what you can do with all your local resources and life-systems such as water tanks, fuel tanks, irrigation etc.
extension option 2
build integrated communities, microgrids and reliable multi-site remote management, control and reporting
secure networking of premise & sites enables smart communities, microgrids and integrated global management
capabilities to extend smart-management across multiple buildings, facilities and communities e.g. office parks, residential blocks/estates and so on, including tools to build, manage and deliver ‘energy-as-a-service’ offerings leveraging the our smart technologies as a platform
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the capabilities and benefits of smart-management can be extended across premises, adaptable to many different scenarios, use-cases and applications given our modular product set and highly flexible configurability
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increasing the scale and connectivity of local energy generation, storage and use extends the field of play for smart-management presenting more opportunities for local value, whether simply sharing/re-distributing surplus locally all the up to sophisticated multi-tenant/estate management
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where local energy and other resources security is a particular concern, being able to have more options and self-sufficiency with multiple energy sources automatically monitored, managed and prioritized for the most important uses at the relevant time(s) can establish a level enhanced security and comfort, a potentially valuable asset for local users and estate managers
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our solutions are well position to support acceleration of more ‘distributed energy’ based more around local renewables yet more reliable than previously and less reliant on the grid
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with our highly scaleable system architecture and range of sensors/controller designed for different scale/power ratings support small or large ambitions
* reference system and savings comparisons
details of reference system | located at 36.4oN | 5 bedroom residential property with electric rather than gas heating bias and average demand of 2.6 KWH | battery capacity 20.5 KWH – min. SOC 30% | solar capacity 9.6 KW | operating with Advanced Smart Management. This system was achieving up to 50% grid savings without management. Any claims or reference site data and comments on reductions or savings are indicative only and specific to the relevant site, system, use-cases and all other relevant factors. Actually achieved outcomes will be unique for each installation depending on all its specific relevant factors, including the foregoing. A core function of our AI-based predictive charge management is to learn outcomes and conditions over time for your installation based on specific relevant site factors and to use this data to optimize your energy resources within your unique context
options 1 and 2
may require additional hardware (such as transfer switches), on-site wiring setup and supported smart-devices and associated third-party apps and subscriptions** depending on your existing system configuration or new system design
contact us for more details
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stop paying excessive grid bills by using more of your own energy
rates have been rising at twice the rate of inflation with continuing pressure on grids to invest more to meet rising demand for electricity, which costs will need to be recovered from consumers
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invest wisely in your own more independent energy future
a combination of risk factors, technology maturity and grid economics makes a compelling case for local renewable energy that pays for itself and then delivers free energy
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better prepared for increasingly changeable weather
climate change impact on weather is an increasing challenge for renewable energy systems, affect generation and seasonal energy demand e.g. HVAC
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in direct control of carbon impact from energy consumption
100% assured a carbon neutral at point of generation in contrast to many indirect ‘offset’ arrangements behind grid-based ‘green tariff’ products
