Inspiration and What it does
Paying Utilities is always a mess. The prices are never consistent, and the consumer never really gets a transparent way to decide their own prices, nor have open access to information about it. Producers, especially those who own renewable sources of energy sources of energy such as solar panels, on the other hand tend to have a surplus of energy, which is often times wasted. The one thing in common consumers and producers have is the power grid they're connected to - and we make it possible to have an open market, where the sellers and buyers themselves decide their prices for their own levels of consumption/production.
How we built it
Fetch.ai Agents for each consumer and producer, and the market they are based on. We used ML models with Tensorflow to analyze the market prices to provide the stakeholders with open access to this information that is based on statistical data, and parameters such as Location, Weather, Season, Time, etc. We used Flask and React as the basic tech stack for the user interfaces and application.
Challenges we ran into
We initially started with an idea to create a decentralized blockchain network, which turned out to be out of scope for the time period of the hackathon, with the additional complexity of each Fetch.ai Agent. We were also focused too much on the technical backing of the project that we almost ignored the UI experience, which made it difficult to create a great working demo.
Accomplishments that we're proud of
This was a very technically complex idea that we decided to take on. Even though we had to downgrade the technical complexity we initially hoped to build, it's a great proof of concept as an interface that can be built upon heavily in the future.
What we learned
We learnt the real technical nuances that go behind building decentralized systems from scratch.
What's next for WattWise
We will go onto build the initial idea of the app we had. We will also make use of fetch.ai's AI agents to facilitate the free market exchange of energy, and to potentially make them Autonomous Economic Agents (AEAs). We will further strengthen the models the bidding and exchanges are based upon.
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