Using Spatio-Temporal Graph Neural Networks to Estimate Fleet-Wide Photovoltaic Performance Degradation Patterns

Accurate estimation of photovoltaic (PV) system performance is crucial for determining its feasibility as a power generation technology and financial asset. PV-based energy solutions offer a viable alternative to traditional energy resources due to their superior Levelized Cost of Energy (LCOE). A significant challenge in assessing the LCOE of PV systems lies in understanding the Performance Loss Rate (PLR) for large fleets of PV systems. Estimating the PLR of PV systems becomes increasingly important in the rapidly growing PV industry. Precise PLR estimation benefits PV users by providing real-time monitoring of PV module performance, while explainable PLR estimation assists PV manufacturers in studying and enhancing the performance of their products. However, traditional PLR estimation methods based on statistical models have notable drawbacks. Firstly, they require user knowledge and decision-making. Secondly, they fail to leverage spatial coherence for fleet-level analysis. Additionally, these methods inherently assume the linearity of degradation, which is not representative of real world degradation. To overcome these challenges, we propose a novel graph deep learning-based decomposition method called the Spatio-Temporal Graph Neural Network for fleet-level PLR estimation (PV-stGNN-PLR). PV-stGNN-PLR decomposes the power timeseries data into aging and fluctuation components, utilizing the aging component to estimate PLR. PVstGNN-PLR exploits spatial and temporal coherence to derive PLR estimation for all systems in a fleet and imposes flatness and smoothness regularization in loss function to ensure the successful disentanglement between aging and fluctuation. We have evaluated PV-stGNN-PLR on three simulated PV datasets consisting of 100 inverters from 5 sites. Experimental results show that PV-stGNN-PLR obtains a reduction of 33.9% and 35.1% on average in Mean Absolute Percent Error (MAPE) and Euclidean Distance (ED) in PLR degradation pattern estimation compared to the state-of-the-art PLR estimation methods

Hyperglycemic Myocardial Damage Is Mediated by Proinflammatory Cytokine: Macrophage Migration Inhibitory Factor

Diabetes has been regarded as an inflammatory condition which is associated with left ventricular diastolic dysfunction (LVDD). The purpose of this study was to examine the expression levels of macrophage migration inhibitory factor (MIF) and G protein-coupled receptor kinase 2 (GRK2) in patients with early diabetic cardiomyopathy, and to investigate the mechanisms involved in MIF expression and GRK2 activation.83 patients in the age range of 30-64 years with type 2 diabetes and 30 matched healthy men were recruited. Left ventricular diastolic function was evaluated by cardiac Doppler echocardiography. Plasma MIF levels were determined by ELISA. To confirm the clinical observation, we also studied MIF expression in prediabetic rats with impaired glucose tolerance (IGT) and relationship between MIF and GRK2 expression in H9C2 cardiomyoblasts exposed to high glucose.Compared with healthy subjects, patients with diabetes have significantly increased levels of plasma MIF which was further increased in diabetic patients with Left ventricular diastolic dysfunction (LVDD). The increased plasma MIF levels in diabetic patients correlated with plasma glucose, glycosylated hemoglobin and urine albumin levels. We observed a significant number of TUNEL-positive cells in the myocardium of IGT-rats but not in the control rats. Moreover, we found higher MIF expression in the heart of IGT with cardiac dysfunction compared to that of the controls. In H9C2 cardiomyoblast cells, MIF and GRK2 expression was significantly increased in a glucose concentration-dependant manner. Furthermore, GRK2 expression was abolished by siRNA knockdown of MIF and by the inhibition of CXCR4 in H9C2 cells.Our findings indicate that hyperglycemia is a causal factor for increased levels of pro-inflammatory cytokine MIF which plays a role in the development of cardiomyopathy occurring in patients with type 2 diabetes. The elevated levels of MIF are associated with cardiac dysfunction in diabetic patients, and the MIF effects are mediated by GRK2

Two essays on financial reporting quality

Essay I: Auditors' Response to Initiation of Compensation Clawback Provisions While firm-initiated compensation recovery (or clawback) provisions are gaining popularity, little is known about their impact on information intermediaries such as auditors. This study shows that auditors view such provisions as useful in reducing audit risk. Specifically, I find that auditors are less likely to report material internal control weaknesses after the firm adopts clawback provisions. In addition, auditors charge those firms lower audit fees and are able to issue audit reports sooner after the adoption. These results imply that auditors consider clawback provisions helpful in enhancing the integrity of financial reporting and thus reduce audit effort. Essay II: Internal Control Weaknesses and Investors' Assessment of Earnings Quality This study examines if the mandated disclosure of firms' internal control quality affects the market's assessment of earnings quality. I find that the earnings response coefficient (ERC) declines after the first disclosure of internal control weaknesses (ICWs) and recovers after the weaknesses are remediated. I further show that the ICW-induced decrease in the ERC is more pronounced when the firm discloses more weaknesses. The decrease is stronger for positive than for negative earnings news. In addition, firms with lower ex ante likelihood of reporting ICWs suffer more decrease in the ERC. Thus, my evidence suggests that mandated ICW disclosure is viewed by investors as relevant in appraising earnings quality. Since internal control over financial reporting is designed to provide reasonable assurance of the reliability of financial reporting (PCAOB, 2004), my findings show that the ICW disclosure is viewed by the market to at least partially achieve PCAOB's intended objective.</p