BESOS
stable

besos library

  • Installing BESOS
  • API Reference
  • Customizing EnergyHub Solver
  • Contribute to the code
  • FAQ Library

BESOS Platform

  • Example Work Flow
  • C4 diagram of the BESOS platform
  • Formatting Jupyter Notebooks
  • FAQ Platform

Overview

  • Overview of Energy Hub modelling on BESOS
  • Examples Overview
  • Surrogate Modelling on BESOS

How-to Guides

  • Bayesian Network
  • Building Optimization
  • Building Optimization with Dask
  • Cluster submission from notebook
  • EvaluatorEH
  • Combining EnergyPlus and EnergyHub Evaluators
  • Fit feedforward Neural Network model
  • Fit feedforward Neural Network model With Dask
  • Adaptive Sampling
  • Fit a Gaussian Process surrogate model
  • Tensorflow graph construction and training on building simulation data
  • Interactive Surrogate Modelling
  • Morris Screening
  • Parametric Analysis
  • Running EHub on BESOS
  • SFTP file transfer to the cluster
  • Sobol Sensitivity Analysis

Tutorials

  • Rooftop constraint
  • Common Linux terminal commands
  • Remote Community Energy Modelling

Reference

  • Applying TimeStamp Dates on EvaluatorEP Outputs
  • Automatic Error Handling
  • Descriptors
  • Working with different versions of EnergyPlus
  • Evaluators
  • Objectives and Constraints
  • Optimisation Run Flexibility
  • Running EnergyPlus directly
  • Selectors

Modules

  • IDF_class
  • IO_Objects
  • besos_utils
  • besostypes
  • config
  • dask_utils
  • eplus_funcs
  • eppy_funcs
  • errors
  • evaluator
  • objectives
  • optimizer
  • parameters
  • problem
  • pyehub_funcs
  • sampling
BESOS
  • Python Module Index

Python Module Index

b | c | d | e | i | o | p | s
 
b
besos_utils
besostypes
 
c
config
 
d
dask_utils
 
e
eplus_funcs
eppy_funcs
errors
evaluator
 
i
IDF_class
IO_Objects
 
o
objectives
optimizer
 
p
parameters
problem
pyehub_funcs
 
s
sampling

© Copyright 2020, Ralph Evins. Revision e295eb83.

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