flexmeasures

The intelligent & developer-friendly EMS to support real-time energy flexibility apps, rapidly and scalable.

https://github.com/FlexMeasures/flexmeasures

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

○
CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
○
DOI references
○
Academic publication links
○
Committers with academic emails
○
Institutional organization owner
○
JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (13.5%) to scientific vocabulary

Keywords

backend energy energy-data energy-flexibility machine-learning

Last synced: 6 months ago · JSON representation

Repository

The intelligent & developer-friendly EMS to support real-time energy flexibility apps, rapidly and scalable.

Basic Info

Host: GitHub
Owner: FlexMeasures
License: apache-2.0
Language: Python
Default Branch: main
Homepage: https://flexmeasures.io
Size: 13.7 MB

Statistics

Stars: 166
Watchers: 8
Forks: 43
Open Issues: 207
Releases: 62

Topics

backend energy energy-data energy-flexibility machine-learning

Created about 5 years ago · Last pushed 6 months ago

Metadata Files

Readme License Notice

FlexMeasures is an intelligent EMS (energy management system) to optimize behind-the-meter energy flexibility. Build your smart energy apps & services with FlexMeasures as backend for real-time orchestration!

In a nutshell, FlexMeasures turns data into optimized schedules for flexible assets like batteries and heat pumps, or for flexible industry processes:

The most simple view of FlexMeasures, turning data into schedules

Here is why using FlexMeasures is a great idea:

Developing energy flexibility apps & services (e.g. to enable demand response) is crucial, but expensive.
FlexMeasures reduces development costs with real-time data intelligence & integrations, uncertainty models and developer support such as API/UI and plugins.

High-level overview of FlexMeasures as an EMS for energy flexibility apps, using plugins to fit a given use case

So why optimise the schedules of flexible assets? Because planning ahead allows flexible assets to serve the whole system with their flexibility, e.g. by shifting energy consumption to other times. For the asset owners, this creates CO₂ savings but also monetary value (e.g. through self-consumption, dynamic tariffs and grid incentives). FlexMeasures thrives to be applicable in cases with multiple sources of value ("value stacking") and multiple types of assets (e.g. home/office/factory).

As possible users, we see energy service companies (ESCOs) who want to build real-time apps & services around energy flexibility for their customers, or medium/large industrials who are looking for support in their internal digital tooling. However, even small companies and hobby projects might find FlexMeasures useful!

How does FlexMeasures enable rapid development of energy flexibility apps?

FlexMeasures is designed to help with three basic needs of developers in the energy flexibility domain:

I need help with integrating real-time data and continuously computing new data

FlexMeasures is designed to make decisions based on data in an automated way. Data pipelining and dedicated machine learning tooling is crucial.

API/CLI functionality to read in time series data
Extensions for integrating 3rd party data, e.g. from ENTSO-E or OpenWeatherMap
Forecasting for the upcoming hours
Schedule optimization for flexible assets

It's hard to correctly model data with different sources, resolutions, horizons and even uncertainties

Much developer time is spent correcting data and treating it correctly, so that you know you are computing on the right knowledge.

FlexMeasures is built on the timely-beliefs framework, so we model this real-world aspect accurately:

Expected data properties are explicit (e.g. unit, time resolution)
Incoming data is converted to fitting unit and time resolution automatically
FlexMeasures also stores who thought that something happened (or that it will happen), and when they thought so
Uncertainty can be modelled (useful for forecasting)

I want to build new features quickly, not spend days solving basic problems

Building customer-facing apps & services is where developers make impact. We make their work easy.

FlexMeasures has well-documented API endpoints and CLI commands to interact with its model and data
You can extend it easily with your own logic by writing plugins
A backend UI shows you your assets in maps and your data in plots. There is also support for plots to be available per API, for integration in your own frontend
Multi-tenancy ― model multiple accounts on one server. Data is only seen/editable by authorized users in the right account

Getting started

Head over to our documentation, e.g. the getting started guide or the 5-minute tutorial. Or find more information on FlexMeasures.io.

See also Seita's Github profile, e.g. for FlexMeasures plugin examples.

Development & community

FlexMeasures was initiated by Seita BV in The Netherlands in order to make sure that smart backend software is available to all parties working with energy flexibility, no matter where they are working on their local energy transition.

We made FlexMeasures freely available under the Apache2.0 licence and it is now an incubation project at the Linux Energy Foundation.

Within the FlexMeasures project, we welcome contributions. You can also learn more about our governance.

You can connect with the community here on GitHub (e.g. by creating an issue), on the mailing list, on the FlexMeasures channel within the LF Energy Slack or by contacting the current maintainers.

Owner

Name: FlexMeasures
Login: FlexMeasures
Kind: organization
Email: flexmeasures@lists.lfenergy.org

Website: https://flexmeasures.io
Repositories: 9
Profile: https://github.com/FlexMeasures

FlexMeasures is the smart EMS for energy flexibility applications. An incubation project at the Linux Energy Foundation.

GitHub Events

Total

Create event: 236
Commit comment event: 4
Release event: 5
Issues event: 291
Watch event: 23
Delete event: 178
Issue comment event: 765
Push event: 1,383
Pull request review comment event: 828
Pull request review event: 957
Pull request event: 375
Fork event: 6

Last Year

Create event: 236
Commit comment event: 4
Release event: 5
Issues event: 292
Watch event: 23
Delete event: 178
Issue comment event: 765
Push event: 1,386
Pull request review comment event: 828
Pull request review event: 959
Pull request event: 376
Fork event: 6

Committers

Last synced: 7 months ago

All Time

Total Commits: 1,474
Total Committers: 28
Avg Commits per committer: 52.643
Development Distribution Score (DDS): 0.57

Past Year

Commits: 283
Committers: 13
Avg Commits per committer: 21.769
Development Distribution Score (DDS): 0.654

Top Committers

Name	Email	Commits
Felix Claessen	3****x	634
nhoening	i**m@n**e	532
Victor	v**r@s**l	91
JDev	4****y	49
create-issue-branch[bot]	5****]	35
Muhammad-Moiz626	m**3@g**m	34
Ahmad Wahid	5****d	25
GustaafL	4****L	17
nrozanov	5****v	16
Mohamed Belhsan Hmida	1****a	12
Nischay Mamidi	1****o	9
Tammevesky	t**7@g**m	2
Mark Purcell	7****b	2
Kevin Wang	3****t	2
Lego Las	l**m@g**m	1
Nicolas Höning	n**g@d**m	1
Bobby Drake	b**e@s**l	1
Devansh Sharma	4****7	1
Felix Claessen	3****x	1
Lenox Brown	1****x	1
Pratik Raj	R**1@g**m	1
Ragnar-the-mighty	1****y	1
Seagyn Davis	s**n@g**m	1
Serhii	j**z@m**m	1
V24	5****8	1
beralt85	b**d@b**m	1
pim	p**r@g**m	1
rhpijnacker	r**r@g**m	1

Committer Domains (Top 20 + Academic)

beralt.com: 1 me.com: 1 softwear.nl: 1 digib.com: 1 seita.nl: 1 nicolashoening.de: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 623
Total pull requests: 1,300
Average time to close issues: 3 months
Average time to close pull requests: 10 days
Total issue authors: 32
Total pull request authors: 29
Average comments per issue: 1.22
Average comments per pull request: 1.66
Merged pull requests: 1,098
Bot issues: 0
Bot pull requests: 43

Past Year

Issues: 228
Pull requests: 460
Average time to close issues: 15 days
Average time to close pull requests: 7 days
Issue authors: 16
Pull request authors: 13
Average comments per issue: 0.74
Average comments per pull request: 1.93
Merged pull requests: 351
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

nhoening (272)
Flix6x (216)
victorgarcia98 (33)
joshuaunity (17)
BelhsanHmida (14)
Ragnar-the-mighty (9)
ArdJonker (9)
nrozanov (8)
Ahmad-Wahid (7)
GustaafL (7)
beralt85 (3)
seagyn (2)
devansh287 (2)
Muhammad-Moiz626 (2)
timebis (2)

Pull Request Authors

Flix6x (496)
nhoening (262)
victorgarcia98 (149)
joshuaunity (108)
Muhammad-Moiz626 (68)
Ahmad-Wahid (51)
create-issue-branch[bot] (39)
nrozanov (28)
BelhsanHmida (26)
GustaafL (24)
Nischay-Pro (10)
Tammevesky (8)
dependabot[bot] (4)
hanachaari (4)
briskdust (3)

Top Labels

Issue Labels

UI (113) bug (88) Scheduling (57) API (56) documentation (52) Data (47) good first issue (41) CLI (38) Continuous Integration (25) enhancement (14) security (14) development (10) dependency-hygiene (9) refactoring (9) multi-tenancy (7) Reporting (7) Auth (7) Plugin support (6) installation (5) Service/Support tooling (4) deprecation (3) upgrading (3) Story:RelaxStorageConstraints (3) Forecasting (3) white-labeling (2) users (2) Units (1) help wanted (1) monitoring (1) jobs (1)

Pull Request Labels

UI (267) bug (184) documentation (112) Scheduling (108) API (104) CLI (100) Data (86) Still Needs Changelog Entry (54) dependency-hygiene (42) Reporting (37) enhancement (28) Continuous Integration (27) Plugin support (25) refactoring (24) deprecation (23) development (19) jobs (18) Units (15) Still Needs Manual Backport (15) Auth (13) security (12) installation (11) multi-tenancy (9) upgrading (8) good first issue (5) GraphDeliveryImprovements (2) Story:MultiAssetScheduling (2) Service/Support tooling (2) macOS (1) Forecasting (1)

Packages

Total packages: 3
Total downloads:
- pypi 1,426 last-month

Total dependent packages: 0
(may contain duplicates)
Total dependent repositories: 2
(may contain duplicates)
Total versions: 226
Total maintainers: 2

proxy.golang.org: github.com/FlexMeasures/flexmeasures

Documentation: https://pkg.go.dev/github.com/FlexMeasures/flexmeasures#section-documentation
License: apache-2.0
Latest release: v0.27.4
published 6 months ago

Versions: 59
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Dependent packages count: 5.4%

Average: 5.6%

Dependent repos count: 5.8%

Last synced: 6 months ago

proxy.golang.org: github.com/flexmeasures/flexmeasures

Documentation: https://pkg.go.dev/github.com/flexmeasures/flexmeasures#section-documentation
License: apache-2.0
Latest release: v0.27.4
published 6 months ago

Versions: 59
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Dependent packages count: 5.4%

Average: 5.6%

Dependent repos count: 5.8%

Last synced: 6 months ago

pypi.org: flexmeasures

The *FlexMeasures Platform* is the intelligent backend to support real-time energy flexibility apps, rapidly and scalable.

Homepage: https://flexmeasures.io
Documentation: https://flexmeasures.readthedocs.io/
License: Apache-2.0
Latest release: 0.27.4
published 6 months ago

Versions: 108
Dependent Packages: 0
Dependent Repositories: 2
Downloads: 1,426 Last month

Rankings

Stargazers count: 6.5%

Forks count: 7.8%

Average: 9.0%

Downloads: 9.0%

Dependent packages count: 10.1%

Dependent repos count: 11.5%

Maintainers (2)

seitabv flix6x

Last synced: 6 months ago

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requirements/3.10/docs.txt pypi

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sphinxcontrib-htmlhelp ==2.0.3
sphinxcontrib-httpdomain ==1.8.1
sphinxcontrib-jquery ==4.1
sphinxcontrib-jsmath ==1.0.1
sphinxcontrib-qthelp ==1.0.5
sphinxcontrib-serializinghtml ==1.1.7
urllib3 ==2.0.4
zipp ==3.16.2

requirements/3.9/test.txt pypi

async-timeout ==4.0.3 test
certifi ==2023.7.22 test
charset-normalizer ==3.2.0 test
click ==8.1.6 test
coverage ==7.2.7 test
exceptiongroup ==1.1.2 test
fakeredis ==2.17.0 test
flask ==2.1.2 test
highspy ==1.5.3 test
idna ==3.4 test
importlib-metadata ==6.8.0 test
iniconfig ==2.0.0 test
itsdangerous ==2.1.2 test
jinja2 ==3.1.2 test
lupa ==2.0 test
markupsafe ==2.1.3 test
packaging ==23.1 test
pluggy ==1.2.0 test
pytest ==7.4.0 test
pytest-cov ==4.1.0 test
pytest-flask ==1.2.0 test
pytest-sugar ==0.9.7 test
redis ==4.6.0 test
requests ==2.31.0 test
requests-mock ==1.11.0 test
six ==1.16.0 test
sortedcontainers ==2.4.0 test
termcolor ==2.3.0 test
tomli ==2.0.1 test
urllib3 ==2.0.4 test
werkzeug ==2.1.0 test
zipp ==3.16.2 test

setup.py pypi

flexmeasures

Science Score: 26.0%

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README.md

How does FlexMeasures enable rapid development of energy flexibility apps?

I need help with integrating real-time data and continuously computing new data

It's hard to correctly model data with different sources, resolutions, horizons and even uncertainties

I want to build new features quickly, not spend days solving basic problems

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proxy.golang.org: github.com/FlexMeasures/flexmeasures

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