Dtime exists to build a sustainable future using the power of data.
We envision 100% decarbonised and reliable energy systems, as much as you do.
Towards achieving this, we leverage the advances made in data analytics, applied intelligence and cloud computing to offer scalable data-driven intelligence for distributed energy assets such as renewable energy generators, smart buildings, battery storage systems and electric vehicle fleets.
Tapping into relevant data sources and deriving useful insights using applied intelligence techniques such as machine learning and optimisation, Dtime offers diverse set of values to distributed energy asset owners/operators as follows:
Renewable energy generators
depend on the availability of natural resources such as solar radiation, wind or precipitation for energy generation. Accurate forecasts from these generators derived with the help of state-of-the-art machine learning models will validate future contracts, minimise revenue losses and maximise energy system reliability.
with advanced metering infrastructure (AMI) and internet of things (IoT) devices generate huge amounts of valuable data. Insights derived from these data will help maximise energy efficiency of the smart buildings. In addition, accurate forecast and precision control of flexible loads such as air-conditioners will provide revenue opportunities through flexibility services.
Battery storage systems
are delivering energy balancing and ancillary services in many energy markets. Applied intelligence used for simulation, optimisation and prediction have the capability to inform investment and operational decisions. We will help you decide the optimal battery size, provide data-informed insights to maximise your battery life as well as revenue, ensuring the best return on investment.
Electric vehicle (EV) fleets
will add a new type of load on electricity systems, which if managed intelligently, could offer enhanced flexibility to the grid while incentivising the EV owners.
The Dtime advantage
you can gain access to data-driven insights without having to build and maintain complex data pipelines, intelligent models and data science/software teams.
If you own/operate any of the above energy assets or just want to learn more about our products and services, please register your interest here:
If you have a specific query, please use this form:
“It is a capital mistake to theorise before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts.”
Sir Arthur Conan Doyle
Share this page