Forthcoming...

Electricity Demand 1: Data Resolution

• Forecasting individual electric utility customer hourly loads from AMI data
• Development of an end-use load forecasting model for Peninsular Malaysia
• Daily peak load forecasting with mixed-frequency input data

Electricity Demand 2: Short Term Load Forecasting

• Evaluation of multi-horizon strategies for electricity load forecasting
• Zero initialization of modified gated recurrent encoder-decoder network for short term load forecasting
• Impact of meteorological variables in short-term electric load forecasting

Electricity Demand 3: Load & Price

• Determining the demand elasticity in a wholesale electricity market
• Horse and Cart: a scalable electricity load and price forecast model
• Temporal hierarchies with autocorrelation for load forecasting

Electricity Demand 4: Statistics vs. Machine Learning

• Forecasting time series with multiple seasonal patterns using a long short-term memory neural network methodology
• Statistical and machine learning methods combination for improved energy consumption forecasting performance
• Probabilistic forecasting of electricity demand using Markov chain and statistical distribution

Electricity Price 1: German Market

• Econometric modelling and forecasting of intraday electricity prices
• On the importance of cross-border market integration under XBID: evidence from the German intraday market
• A generative model for multivariate probabilistic scenario forecasting

Electricity Price 2: Probabilistic Forecasting

• Averaging probabilistic forecasts of day-ahead electricity prices across calibration windows
• Regularization for quantile regression averaging. A new approach to constructing probabilistic forecasts
• Revisiting the jackknife method for construction of prediction intervals – application to electricity market

Electricity Price 3

• Forecasting Italian spot electricity prices using random forests and intra-daily market information
• Forecasting Northern Italian electricity prices
• Application of a SVM-based model for day-ahead electricity price prediction for the single electricity market in Ireland

Electricity Price 4

• Day-ahead vs. intraday - forecasting the price spread to maximize economic benefits
• Enhancing wind and solar generation forecasts to yield better short-term electricity price predictions
• Prediction intervals in high-dimensional regression

Energy

• Forecasting algorithm assignment to distribution grid service points in the context of demand response
• Modelling uncertainty: probabilistic load forecasting using weather ensemble predictions
• Understanding the impacts of distributed PV resources on short-term load forecasting – a comparative study on solar data availability
• Access forecasting for safety-critical crew transfers in offshore environments

Environment

• A feature-based framework for detecting technical outliers in water-quality data from in situ sensors
• Probabilistic forecasting models for NO2 concentrations
• Probabilistic forecasting of an air quality index

Oil & Gas

• Forecasting oil and natural gas prices with futures and threshold models
• Ensemble-based approaches and regularization techniques to enhance natural gas consumption forecasts
• A multi-granularity heterogeneous combination approach to crude oil price
• Predicting Natural Gas Pipeline Alarms

Water

• Forecasting power generation for small hydropower plants using inflow data from neighboring basins
• Probabilistic short-term water demand forecasting
• When is water consumption extreme?
• Forecasting water usage demand in Sydney

Wind & Solar

• A comparison of wind speed probabilistic forecast via quantile regression models
• Online distributed learning in wind power forecasting
• Probabilistic solar power forecasting: long short-term memory network vs. simpler approaches
• A non-parametric approach to wind power forecast