Home electricity data generator (HEDGE): An open-access tool for the generation of electric vehicle, residential demand, and PV generation profiles.

In this paper, we present the Home Electricity Data Generator (HEDGE), an open-access tool for the random generation of realistic residential energy data. HEDGE generates realistic daily profiles of residential PV generation, household electric loads, and electric vehicle consumption and at-home availability, based on real-life UK datasets. The lack of usable data is a major hurdle for research on residential distributed energy resources characterisation and coordination, especially when using data-driven methods such as machine learning-based forecasting and reinforcement learning-based control. We fill this gap with the open-access HEDGE tool which generates data sequences of energy data for several days in a way that is consistent for single homes, both in terms of profile magnitude and behavioural clusters.•From raw datasets, pre-processing steps are conducted, including filling in incomplete data sequences, and clustering profiles into behaviour clusters. Transitions between successive behaviour clusters and profiles magnitudes are characterised.•Generative adversarial networks (GANs) are then trained to generate realistic synthetic data representative of each behaviour groups consistent with real-life behavioural and physical patterns.•Using the characterisation of behaviour cluster and profile magnitude transitions, and the GAN-based profiles generator, a Markov chain mechanism can generate realistic energy data for successive days.

Reducing the life cycle environmental impact of electric vehicles through emissions-responsive charging.

Electric vehicles (EVs) are currently being promoted to reduce transport emissions. We present a life cycle assessment of EV charging behaviors based on marginal emissions factors. For Great Britain, we find that electricity consumption accounts for the highest proportion of life cycle carbon emissions from EVs. We highlight the potential life cycle carbon emissions reduction brought by charging during periods when the grid mix produces relatively low emissions. While our study focuses on Great Britain, we have applied our methodology to several European countries with contrasting electricity generation mixes. Our analysis demonstrates that countries with a high proportion of fossil energy will have reduced benefits from deploying EVs, but are likely to achieve increased benefits from smart charging approaches. We conclude that using marginal emissions factors is essential to understanding the greenhouse gas impacts of EV deployment, and that smart charging tied to instantaneous grid emissions factors can bring benefits.

Procuring load curtailment from local customers under uncertainty.

Demand side response (DSR) provides a flexible approach to managing constrained power network assets. This is valuable if future asset utilization is uncertain. However there may be uncertainty over the process of procurement of DSR from customers. In this context we combine probabilistic modelling, simulation and optimization to identify economically optimal procurement policies from heterogeneous customers local to the asset, under chance constraints on the adequacy of the procured DSR. Mathematically this gives rise to a search over permutations, and we provide an illustrative example implementation and case study.This article is part of the themed issue 'Energy management: flexibility, risk and optimization'.

Safty and acute toxicities of intraoperative electron radiotherapy for patients with abdominal tumors / 中华放射肿瘤学杂志

Objective To investigate the safety and acute toxicities of intraoperative electron radiotherapy for patients with abdominal tumors.Methods From May 2008 to August 2009, 52 patients with abdominal tumors were treated with intraoperative electron radiotherapy,including 14 patients with breast cancer,19 with pancreatic cancer,3 with cervical cancer, 4 with ovarian cancer, 6 with sarcoma, and 6 with other tumors.Fifteen patients were with recurrent tumors.The intraoperative radiotherapy was performed using Mobetron mobile electron accelerator, with total dose of 9 - 18 Gy.In all, 29, 4 and 19 patients received complete resection, palliative resection and surgical exploration, respectively.The complications during the operations and within 6 months after operations were graded according to Common Terminology Criteria for Adverse Events v3.0 (CTC 3.0).Results The median duration of surgery was 190 minutes.Intraoperative complications were observed in 5 patients, including 3 with hemorrhage, 1 with hypotension,and 1 with hypoxemia, all of which were treated conservatively.The median hospitalization time and time to take out stitches was 12 and 13 days, respectively.And the in-hospital mortality was 4% (2/52).Twentyfour patients suffered post-operative adverse events, including 3 postoperative infections.With a median follow-up time of 183 days, 20% of patients sufferred from grade 3 to 5 adverse events, with hematological toxicities being the most common complication, followed by bellyache.Grade 1 and 2 toxicities which were definitely associated with intraoperative radiotherapy was 28% and 4%, respectively.None of grade 3 to 5 complications were proved to be caused by intraoperative radiotherapy.Conclusions Intraoperative electron radiotherapy is well tolerable and could be widely used for patients with abdominal tumors, with a little longer time to take out stitches but without more morbidities and toxicities compared surgery alone.

Treatment results of radiotherapy for medically inoperable stage Ⅰ/Ⅱ non-small cell lung cancer / 中华放射肿瘤学杂志

Objective To retrospectively analyze treatment results of radiotherapy for medically inoperable stage Ⅰ/Ⅱ non-small cell lung cancer. Methods Between Jan.2000 and Dec.2005,fifty-eight such patients were enrolled into the database analysis,including 37 with clinical stage Ⅰ and 21 with stage Ⅱ disease.Fifty patients received radiotherapy alone and eight with radiotherapy and chemotherapy.Fortythree patients were treated with 3-D conformal radiotherapy(3D-CRT)and 15 with conventional radiotherapy.Results The 1-,2-and 3- year overall survival rates were 85%,54%and 30%,and the median survival time was 26.2 months for the whole group.The corresponding figures were 88%,60%,36%and 30.8 months for cancer-specific survival:84%,64%,31%and 30.8 months for Stage Ⅰ disease;81%,47%,28%and 18.8 months for Stage Ⅱ disease;95%,57%,33%and 30.8 months for 3D-CRT group and 53%,44%,24%and 15.3 months for conventional radiotherapy group.By logrank test,tumor volume,pneumonitis of Grade Ⅱ or higher and weight loSS more than 5%showed statistically significant impact on overall survival.Tumor volume was the only independent prognostic factor in Cox muhivariable regression.Pneumonitis and esophagitis of Grade Ⅱ or higher were 16%and 2%,respectively.Age and lung function before treatment had a significant relationship with pneumonitis.Failure included the local recurrence(33%)and distant metastasis(21%).There was no difference between the treatment modalities and failure sites. Conclusions For medically inoperable early stage non-small cell lung cancer patients,tumor volume is the most important prognostic factor for overall survival.The conformal radiotherapy marginally improves the survival.The age and pulmonary function are related to the incidence of treatment induced pneumonitis.