Chad Wheeler: https://py-prototype.herokuapp.com/
Harpreet Kaur: https://powerful-spire-82147.herokuapp.com/
Nelson Tang: https://data551-milestone2.herokuapp.com/
Nyanda Redwood: energy-app
- Chad: "An intelligent and witty person that works on the betterment of oneself and those around him." -Jacob
- Harpreet: Passionate mathematician on the path of becoming a statistician.
- Nelson: Definitely a data engineer on my right track in the near future.
- Nyanda: Life long learner vested with a growth mentality.
We built a dashboard to visualize data related to a low energy-house in Belgium. Our purpose is to provide analytical insights, visually, for ease of use in cases such as the determination of the adequate photovoltaic and energy storage size. Ideally, this could be of utmost importance to Belgium's energy management system. This is particularly true in the context of diminishing the inflow of power to the grid across the four seasons. This is premised on avoiding power balckouts. On the ground, this could be of immediate use to electricity grid operators in their calculations as they strategize how to avoid power blackouts.
What is unique about our proposal is the use of a low-energy household to generate the data. This usage could be valuable in deciding upon a minimum threshold for energy consumption per household. This can be of further use in managing load control within unforseen emergency situations as well as in the creation of backup systems.
Our app allows users, such as an operator's supervising team, to flexibly filter their search and view different aspects of the data by filtering and re-ordering on different variables.
If you are interested in analyzing the variation of temperature and energy consumption for parts of the winter season(January to February) or parts of the the spring season(March to April), this dashboard can be of help.
With this dashboard, you recieve an interactive layout of various charts that represent several different types of information related to energy consumption. Using a dropdown menu, you can choose from a compilation of nine rooms and/or from a compilation of four months, separately.
This dashboard provides you with concise reports based on day(s), week(s), and month(s). This supports analytical interests related to energy management systems within the context of a low-energy house in Belgium. For example, the vizualizations offer the granularity for comparitive insights based on weekend energy consumption versus weekday energy consumption.
The data set was donated in the year 2017 by Luis Candanedo, University of Mons (UMONS). It was collected to create regression models of appliances energy use in a low energy building in Belgium. Our dataset includes approximately, 20000 temperature and humidity sensors measurements from a ZigBee wireless network, outside weather conditions (To and RH_out, Wind speed, Visibility, Tdewpoint) from a nearby airport station (Chievres Airport, Belgium), and recordings of the energy consumed by the lighting fixtures and other appliances operated by the people residing in that house. The recordings have been recorded at 10 min for about 4.5 months (i.e. from January 11, 2016 to May 27, 2016) in a low-energy building. The node transmitted the temperature recording (T1 to T9) in Celsius and humidity (RH_1 to RH_9) in % for every individual room in the house around every 3.3 minutes which were then averaged for 10 minutes periods. The energy data for both appliances (Appliances) and lights (lights) separately was logged every 10 minutes with m-bus energy meters in the Wh unit.
This dashboard offers dynamic date range selection, allowing you to input dates according to your interest. Date range selections can go from a single day to span an entire month or even several months. Each date range selection simultaneously updates all plots; there are five plots in total.
For the total energy consumption of all appliance, you can view the bar chart within the dashboard. This displays Watts per hour for the house according to your date range selection. Adjancent to the bar chart is a pie chart, which demonstrates a proportional comparision of the filtered selection.
For a month-wise comparison of energy consumption by appliance and light, you can view the area chart labeled "Energy Used in House".
If you are interested in knowing about room temperature and humidity, there is a drop-down menu selection that allows you to do this. This selection updates the line chart labeled "Temperature and Humidity Trend".
If you are interested in knowing the temperature and humidity outside the house, you can view the area chart labled " Outside Temperature vs Humidity", which displays the humdity in percentage and the temperature in Celsius.