Electricity Load Curves Forecasting at Individual Level

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Documentation for package ‘elcf4R’ version 0.4.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

elcf4R-package	Forecasting Individual Electricity Load Curves
elcf4R	Forecasting Individual Electricity Load Curves
elcf4r_assign_kwf_clusters	Assign segments to a fitted KWF clustering model
elcf4r_benchmark	Run a rolling-origin benchmark on a normalized panel
elcf4r_build_benchmark_index	Build a day-level benchmark index from a normalized panel
elcf4r_build_daily_segments	Build daily load-curve segments from a normalized panel
elcf4r_calendar_groups	Derive deterministic KWF calendar groups
elcf4r_classify_thermosensitivity	Classify thermosensitivity from daily load data
elcf4r_download_elmas	Download the ELMAS dataset from figshare
elcf4r_download_gx	Download selected GX dataset components
elcf4r_download_ideal	Download selected IDEAL dataset components
elcf4r_download_storenet	Download one or more StoreNet household files from figshare
elcf4r_elmas_toy	Toy subset of ELMAS hourly cluster profiles
elcf4r_fit_gam	Fit a GAM model for load curves
elcf4r_fit_kwf	Fit a Kernel Wavelet Functional model for daily load curves
elcf4r_fit_kwf_clustered	Fit a clustered KWF model for daily load curves
elcf4r_fit_lstm	Fit an LSTM model for daily load curves
elcf4r_fit_mars	Fit a MARS model for load curves
elcf4r_iflex_benchmark_index	iFlex benchmark index of complete participant-days
elcf4r_iflex_benchmark_results	iFlex benchmark results for shipped forecasting methods
elcf4r_iflex_example	iFlex example panel for package examples
elcf4r_kwf_cluster_days	Cluster daily segments for clustered KWF
elcf4r_lcl_benchmark_results	Low Carbon London benchmark results for shipped forecasting methods
elcf4r_lcl_example	Low Carbon London example panel for package examples
elcf4r_metrics	Forecast accuracy metrics for load curves
elcf4r_normalize_panel	Normalize a load panel to the elcf4R schema
elcf4r_read_gx	Read and normalize the GX residential transformer-level scaffold
elcf4r_read_ideal	Read and normalize the IDEAL hourly aggregate-electricity scaffold
elcf4r_read_iflex	Read and normalize the iFlex hourly dataset
elcf4r_read_lcl	Read and normalize the Low Carbon London dataset
elcf4r_read_refit	Read and normalize the REFIT cleaned household dataset
elcf4r_read_storenet	Read and normalize the StoreNet household dataset
elcf4r_refit_benchmark_results	REFIT benchmark results for shipped forecasting methods
elcf4r_refit_example	REFIT example panel for package examples
elcf4r_storenet_benchmark_results	StoreNet benchmark results for shipped forecasting methods
elcf4r_storenet_example	StoreNet example panel for package examples
elcf4r_use_tensorflow_env	Select the Python environment used for TensorFlow-backed LSTM fits
predict.elcf4r_kwf_clusters	Assign new segments to a fitted KWF clustering model
predict.elcf4r_model	Predict from an 'elcf4r_model'