Potential future features of the Open Energy Dashboard
A wide range of institutions and people have suggested features for
OED. The following list of such requests is unordered. We don't know
when we will implement them and input from users does impact what we
do sooner rather than later. If you want to make a suggestion or
support a request then you can see how on the suggestion page. Our release
page outlines features in active development.
The requested features list is (planned means it is in the OED
roadmap where further generalization may happen later):
- Map representation of data with possible layers for different
types of information. (planned)
- Radar/clock type visualization of data. (planned)
- Acquire meter data from more types of meters including
BACnet, Modbus, BAS systems. (beyond MAMAC and Obvius)
- Normalize graphs for # people, size (sq. feet, cubic feet),
weather (degree heat/cool days, sunny/cloudy, wind). (planned for
non-weather related data)
- Show energy cost for usage. (planned for fixed price per
- Track projects with expected and actual savings.
- Allow arbitrary shift in time between current and previous in
comparison graphics along with arbitrary time width (in development
for back-end, unsure when will have user interface so can specify
arbitrary shift outside ones provided)
- Logins for people other than admins such as student, visitor,
- Other graphical representations such as heat maps, low/high,
comparison to typical usage, inclusion of temperature on line graphs,
comparison to targets.
- Allow arbitrary arithmetic on meter or combinations of meters
data to correct for issues, scale readings, and treat generated
energy (such as solar) as negative. (planned)
- Create PDF poster for competitions from template but
- Multi-institution comparison & competition.
- Create data for standard reports including ENERGY STAR,
- Social media to ask questions, report issues in
sustainability, question of the day.
- Display peak loads and also warn if approaching a peak so can
avoid going higher.
- Notifications (email, text) to admins when approaching peak,
unusual readings that might indicate a problem, exceeding threshold.
- Fit data to curves.
- Track people in buildings over time to see if interventions
spread and stay over time.
- Psychology for change such as cute images, energy tips.