Team Name:
EnergyCast
Team Members:
EnergyCast
New Zealand is dealing with some of the highest electricity prices in the developed world, compounded by declining gas supplies and low hydro lake levels. These issues, along with the unpredictability of climate change, are making the energy landscape more unstable and less reliable. Managing energy demand and supply is becoming increasingly difficult for both consumers and government agencies.
The combination of high energy costs and an unstable supply affects both homes and businesses. As energy demands grow, the risk of grid instability increases, while fluctuating prices make energy planning challenging. The problem is urgent as it impacts daily energy consumption and overall grid reliability across the country.
EnergyCast is an AI-powered platform that helps users manage energy more efficiently. It offers real-time data on energy conditions across New Zealand, providing insights on current loads, historical trends, and potential issues.
The platform also predicts future demand and pricing, helping users plan and avoid high spot prices. EnergyCast is designed to integrate with smart grid technologies, making it adaptable to different regions and evolving energy policies.
EnergyCast helps users save on energy costs by offering data-driven insights and forecasts. It also contributes to better grid reliability by preventing demand spikes and supply shortages. The platform is a valuable tool for anyone looking to manage energy usage more efficiently while keeping costs down.
Land Information Data from LINZ is rich, established and widely available. This data is highly suitable for this project which requires information about the geometries of the property, environmental factors and energy use.
The following includes the data attributes that were extracted from this data
Historical energy consumption data is matched with LINZ property characteristics to estimate energy use for each suburb, considering factors like property size and type.
The suburb-specific energy estimates are used to offer localized insights on demand, helping users plan their energy use, avoid shortages, and manage costs more efficiently.
Description of Use Uses the aggregate energy usage per NZ district, to interpolate energy usage.
Description of Use Using the population information per district to generate the approximate heatmap of energy use density
#AI in Governance
Eligibility: Open to everyone.
Go to Challenge | 35 teams have entered this challenge.
Empower Kiwis to be better with their money.
Eligibility: • The tool must not act as a financial advisor such as providing financial advice on Kiwisaver, Investment options, Insurance and mortgages or any other loans. Datasets to Highlight: • National Household Savings Rate (Stats NZ or similar sources) • Consumer Spending Patterns (government open data) • Household Debt-to-Income Ratios • Financial Literacy Data (survey-based datasets) • Investment Behavior and Trends (regional data from Stats NZ)
Go to Challenge | 6 teams have entered this challenge.
Go to Challenge | 4 teams have entered this challenge.
#Are higher energy prices avoidable?
Eligibility: New Zealand Only
Go to Challenge | 6 teams have entered this challenge.
