Joakim Munkhammar

Electrical and Electronic Engineering · 2004–2021

A researcher in the Science corpus: 6 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 18 citations into it
• Artificial Intelligence — 11 citations into it

Whom Joakim Munkhammar trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. S. Samko
2. Adam W. Marcus
3. Tao Hong
4. Hao Quan
5. Anatoly A. Kilbas
6. Andrew Gordon Wilson

Who trusts Joakim Munkhammar overall

1. Corina S. Drapaca
2. S. Sivaloganathan
3. Amar Debbouche
4. Xiao-jun Yang
5. Allaberen Ashyralyev
6. Muhammad Naveed Akhter

Papers from Joakim Munkhammar's perspective

Ordered by how strongly the researchers Joakim Munkhammar trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gaussian Process Priors with Uncertain Inputs - Application to Multiple-Step Ahead Time Series Forecasting
2. Gaussian Process Kernels for Pattern Discovery and Extrapolation
3. Fractional Integrals and Derivatives: Theory and Applications
4. A review on time series forecasting techniques for building energy consumption
5. Theil's Forecast Accuracy Coefficient: A Clarification
6. Excluded permutation matrices and the Stanley-Wilf conjecture (Journal of Combinatorial Theory)
7. ImageNet classification with deep convolutional neural networks
8. Learning Multiple Layers of Features from Tiny Images
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Probabilistic forecasting of solar power, electricity consumption and net load: Investigating the effect of seasons, aggregation and penetration on prediction intervals (2018) — 75 citations
• Very short term load forecasting of residential electricity consumption using the Markov-chain mixture distribution (MCM) model (2021) — 89 citations
• Residential probabilistic load forecasting: A method using Gaussian process designed for electric load data (2018) — 115 citations
• Quantifying self-consumption of on-site photovoltaic power generation in households with electric vehicle home charging (2013) — 115 citations
• Fractional Calculus and the Taylor-Riemann Series (2005) — 47 citations
• Riemann-Liouville Fractional Derivatives and the Taylor-Riemann Series (2004) — 67 citations